Articoli di riviste sul tema "Pedestrian voice"

Focusing on the study of the application of voice single-chip microcomputer of pedestrian voice unit in electric vehicles, this paper mainly discusses and analyzes that how to drive the voice chip of pedestrian voice unit. Acted as voice part of pedestrian voice unit in electric vehicles, voice single-chip microcomputer is used not only to achieve the better quality and stability, but also to play voice assembly and insert perfect mute by using the related voice chip software compared to the other similar simulate voice. This paper proposes the solution of installing pedestrian voice unit that eliminates radically the potential safety hazard of “being too quiet” in electric vehicles, thereby further promotes the popularization of electric vehicles.

This paper elicits and analyzes the main requirements for Smart Pedestrian applications designed to enhance the pedestrian experience in urban environments by offering optimized walking routes, improved accessibility, and support for social inclusion and connectivity. Utilizing a mixed-methods approach, the research combines qualitative insights with quantitative data analysis based on surveys conducted in two strategically selected urban areas of Nicosia, Cyprus. Through the survey, the requirements and potential use of Smart Pedestrian apps are investigated while accounting for the quality of service of the urban infrastructure in a medium-sized city context. Additionally, the study contrasts the current smartphone applications, as they predominantly facilitate vehicular transportation, with the potential use of ICT/ITS to support pedestrians for sustainable mobility. The findings reveal a significant demand for a Pedestrian Smartphone app, driven by its ability to provide relevant information on optimum pedestrian routes, as well as act as a citizen’s voice for spotting infrastructure problems and improving the pedestrian network. Further, it is also revealed that limitations in the pedestrian infrastructure substantially restrict walking preferences, emphasizing the need for urgent city-level urban planning solutions to support active mobility. Additionally, the research carried out underscores the importance of a sustainable business model to support the successful deployment of Smart Pedestrian apps. Ultimately, the results of the study suggest prioritizing a smart technology leverage with a crowdsourcing social network business model to promote pedestrian mobility, thereby reducing vehicular dependence, enhancing public health, and improving the quality of life. Such an approach would act as catalyst for policymakers to concentrate on sustainability by investing in digital technology for integrated pedestrian networks, fostering the emergence of genuine smart cities.

Tools for blind people with mobility activities in pedestrian pathways have been widely launched, approved and patented. However, there are still shortcomings that can be done only for pedestrian paths or nearby destinations. In this study, both a camera (detection of the pedestrian path) and LiDAR (detection of surrounding objects) sensors to help disability activities. The first stage of image data from the preparatory camera from RGB to XYZ, color filters, close morphology, resizing, learning and testing of neural networks. Bring up 3 voice attitudes information. Attitudes are perpendicular, left tilted, right tilted, or not reversed to the pedestrian yellow path. The second stage of the LiDAR distance points data is processed into 2D array geometry, learning, and testing of neural networks. Bring up the information 8 voice attitudes. Detection of the cycle and distance of objects right side, front, left, right-front, right-left, front-left, right-front-left, not captured. The test results approximately at lux <15000 got 89.7% accuracy for pedestrian path detection and 87.5% for object detection.

Opracowanie jest kontynuacją publikacji autora dotyczących zmian ustawy Prawo o ruchu drogowym w zakresie pierwszeństwa pieszych. Jednocześnie stanowi polemikę z poglądem polegającym na stwierdzeniu, że pieszy wchodzący na przejście to taki „który zaraz wkroczy na przejście” i w praktyce znajduje się poza przejściem dla pieszych, czyli w małej odległości od krawędzi jezdni i przejścia. The meaning of term “a pedestrian entering a zebra crossing” – a polemical voice The article is a follow-up to the author’s publication on the amendments to the Act on Road Traffic in the field of pedestrians’ right of way. It is also a polemic against the view that a pedestrian entering a zebra crossing is one “that is about to enter the crossing” while he/she is actually outside the crossing proper, in other words at a small distance from the curb and the crossing.

With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.

Abstract: People practicing social distancing has been an essential step in limiting COVID-19 transmission. Even after repeated warnings, many people fail to practice social separation. We describe a unique method for automatically recognizing two persons who do not follow social distancing rules, such as keeping a distance of around 6 feet between them. Congested traffic or dense pedestrian areas are part of our plan. We use a portable robot with a ultrasonic sensor, and an RGB-D camera and a 2- D shutter, to promote non-collision moving in the crowd and to compute the distance between all humans identified in the camera viewing field. With the use of a heat-sensing sensor, our robot can also detect a person's body temperature and notify safety/healthcare specialists. Indoors, our mobile robot may be linked to the location's CCTV cameras to boost performance based on the number of community violations identified, accurate pedestrian tracking, and other factors. We underline the benefits of employing our technology in a unique and adaptable manner against covid-19, which helps to mitigate the impact of covid-19 cases caused by a lack of social distance. Keywords: Voice-controlled Robotic, Rasberry Pi, L293D, Distance Check, OpenCV, Depth Sensing, Covid-19, Automation Systems, DC Mortors, Sensors.

The ability to identify pedestrians unobtrusively is essential for smart buildings to provide customized environments, energy saving, health monitoring and security-enhanced services. In this paper, we present an unobtrusive pedestrian identification system by passively listening to people's walking sounds. The proposed acoustic system can be easily integrated with the widely deployed voice assistant devices while providing the context awareness ability. This work focuses on two major tasks. Firstly, we address the challenge of recognizing footstep sounds in complex indoor scenarios by exploiting deep learning and the advanced stereo recording technology that is available on most voice assistant devices. We develop a Convolutional Neural Network-based algorithm and the footstep sound-oriented signal processing schemes to identify users by their footstep sounds accurately. Secondly, we design a "live" footstep detection approach to defend against replay attacks. By deriving the novel inter-footstep and intra-footstep characteristics, we distinguish live footstep sounds from the machine speaker's replay sounds based on their spatial variances. The system is evaluated under normal scenarios, traditional replay attacks and the advanced replays, which are designed to forge footstep sounds both acoustically and spatially. Extensive experiments show that our system identifies people with up to 94.9% accuracy in one footstep and shields 100% traditional replay attacks and up to 99% advanced replay attacks.

A system known as pedestrian recognition makes use of several cameras to identify the surrounding area and quickly identify and match the target demographic. Based on pedestrian recognition, the picture model, pedestrian features, and other information, the features are developed to have a high degree of generalizability, distinctiveness, and accuracy. The application approach for pedestrian re-recognition based on deep learning for numerous features is proposed in this paper. The suggested approach successfully preserves high-level semantic information, which helps network members extract all of the pedestrian properties. As external material and semantic information were combined horizontally and vertically, environmental interference was decreased, and people’s ability to create networks was enhanced. The voice channel of the speech system was introduced in order to fully utilize the global information network, and the connection between the channels was carefully addressed in order to enhance the global information network’s capacity for expression. The null convolution reduced the operational continuity of the identification information. To increase the consistency of the data, the multi-level spatial convolution structure was merged with the entire image in this paper. After numerous experiments, the three groups were 89.5%, 89.5%, and 89.1%, respectively, compared to 1501, DukeMTMC-reID, CUHK03, and other medial groups, and the experimental results were 85% and 89.5%, respectively. The multimode feedback MP3 module was taken from the MP3 module in order to gain richer and denser multimode feature information. Comparing the module’s initial response level (RANK1) with the various cycles yields the average accuracy for each cycle (catalog). The experiment demonstrates that the two mixed pile groups can enhance the modulus of the mixed pile group and get better results. The multi-level multi-scale pole function effectively combines the characteristics of pedestrians in various scales, and the addition of the ASP module enhanced the network context information’s overall ability to be represented, aided in this chapter’s research method’s ability to more thoroughly analyze scene structure, and increased the precision of pedestrian re-recognition.

In early childhood education voice metaphors are often used to describe children’s participation, development or efforts to make themselves heard. This article aims to study the ways in which vocal metaphors take place in material and physical events in the Brunkeberg Tunnel (a pedestrian tunnel) in Stockholm, Sweden. Together with preschool toddlers we have developed ‘vocal strolls’ as a research method for early childhood research, where voice as an event takes place in, with and through resonance, rhythms, routines and refrains. To be able to discuss what vocal strolls consist of and what they may offer the toddlers as well as early childhood education we have developed new concepts. These concepts, voice meetings, voice orientations, voice rooms and vocal memory, take into account a relational and spatial way to compose voice, which may be utilised as a didactic method for amplifying voice as a phenomena among preschool toddlers.

Worldwide interoperability microwave access (WiMAX) is an 802.16 wireless standard that delivers high speed, provides a data rate of 100 Mbps and a coverage area of 50 km. Voice over internet protocol (VoIP) is flexible and offers low-cost telephony for clients over IP. However, there are still many challenges that must be addressed to provide a stable and good quality voice connection over the internet. The performance of various parameters such as multipath channel model and bandwidth over the Star trajectoryWiMAX network were evaluated under a scenario consisting of four cells. Each cell contains one mobile and one base station. Network performance metrics such as throughput and MOS were used to evaluate the best performance of VoIP codecs. Performance was analyzed via OPNET program14.5. The result use of multipath channel model (disable) was better than using the model (ITU pedestrian A). The value of the throughput at 15 dB was approximately 1600 packet/sec, and at -1 dB was its value 1300 packet/se. According to data, the Multipath channel model of the disable type the value of the MOS was better than the ITU Pedestrian A type.

Objectives: To review the evidence of general injury and pedestrian injury studies to determine if there are child behavioural, emotional, developmental, or physical characteristics that put children at higher risk for injury and, if there are such proneness risk factors, to determine their importance relative to other risk factors. Methods: This paper critically assesses 11 general child injury studies and 6 child pedestrian injury studies that have examined variables of child proneness. Information on study design, source of data, magnitude and significance of the risk factors identified, and study limitations are presented in separate sections. Results: A critical review of the literature suggests that aggression is a consistent risk factor for general injuries but not for pedestrian injuries, hyperactivity is inconsistently associated with all types of injuries, and both a general measure of behaviour problems and a measure of unsafe behaviour were found to be significantly related to pedestrian injuries. A look at the pedestrian injury literature suggests that child risk factors make a consistent but minor contribution to injuries in comparison with environmental and social risk factors. Conclusions: We need to address the environmental and social risk factors by educating parents about the roles of home stressors, poor supervision, and high-risk exposure in child injuries and by adding our voice to the efforts to bring into effect engineering and legislative interventions.

This paper describes a design of fast recognition of road information based on mobile terminal. Firstly, based on the HOG algorithm, we study and verify the effects of different parameters on the performance of the algorithm. Secondly, we test 800 images randomly selected from the INRIA pedestrian dataset to obtain the optimal parameters for the mobile terminal and the proportion of video resolution and detection window. Then, under the same test conditions, the time overheads of the SVMLight and the LibSVM are recorded and SVMLight training time is significantly less than LibSVM. Thirdly, we design and implement a real-time road information recognition and warning system on the Windows platform and Android platform. Features include real-time pedestrians detection, voice warning, and road signs recognition. When the vehicle speed is less than 30 km/h, the video resolution is less than 720 × 576 and the detection window/image ratio is less than 1 : 50; the system can guarantee low delay and high recognition rate (97.2%).

The purpose of this study was to assess the impact of texting while driving on driver performance and road safety. In order to achieve this goal, 51 participants took part in a driving simulator study that replicated an urban environment. During the trials, text messages with questions of equal cognitive weight were sent to be answered via 1) a manual texting application or 2) a voice message application. A baseline condition with no secondary task was also tested. Along the simulated route, there were some events that could cause a crash, like pedestrians crossing on-and-off crosswalks. The overall findings indicate that both texting and voice messaging activities while driving have detrimental effects on driving performance and road safety, putting drivers at high risk. The practical applications of the findings of this study are primarily directed at policymakers and stakeholders for the development of effective and targeted campaigns.

The purpose of this study was to assess the impact of texting while driving on driver performance and road safety. In order to achieve this goal, 51 participants took part in a driving simulator study that replicated an urban environment. During the trials, text messages with questions of equal cognitive weight were sent to be answered via 1) a manual texting application or 2) a voice message application. A baseline condition with no secondary task was also tested. Along the simulated route, there were some events that could cause a crash, like pedestrians crossing on-and-off crosswalks. The overall findings indicate that both texting and voice messaging activities while driving have detrimental effects on driving performance and road safety, putting drivers at high risk. The practical applications of the findings of this study are primarily directed at policymakers and stakeholders for the development of effective and targeted campaigns.

The blind encounter commuting risks, such as failing to recognize and avoid obstacles while walking, but protective support systems are lacking. Acoustic signals at crosswalk lights are activated by button or remote control; however, these signals are difficult to operate and not always available (i.e., broken). Bollards are posts installed for pedestrian safety, but they can create dangerous situations in that the blind cannot see them. Therefore, we proposed an obstacle recognition system to assist the blind in walking safely outdoors; this system can recognize and guide the blind through two obstacles (crosswalk lights and bollards) with image training from the Google Object Detection application program interface (API) based on TensorFlow. The recognized results notify the blind through voice guidance playback in real time. The single shot multibox detector (SSD) MobileNet and faster region-convolutional neural network (R-CNN) models were applied to evaluate the obstacle recognition system; the latter model demonstrated better performance. Crosswalk lights were evaluated and found to perform better during the day than night. They were also analyzed to determine if a client could cross at a crosswalk, while the locations of bollards were analyzed by algorithms to guide the client by voice guidance.

Smartphones have become an essential part of our everyday life. Use of mobile instant messaging applications (e.g., WhatsApp, Messenger, iMessage, Kik, Viber, GroupMe, Telegram, Send, Line, and Snapchat) rather than messaging services from cellular service providers have become very popular among users, far outpacing the use of more traditional text messaging. Initial research revealed that the global usage of these modes of communication far outnumber standard text messaging. These instant messaging apps allow users to perform the same function as traditional communication tools (text, voice call, audio message, video call from phone carrier’s number). Additionally, they offer other capabilities such as creating group chats, and sharing photos/videos – in many cases without the need of using data plan coverage from phone carriers. Although instant messaging applications have become very popular, their use for communication may not be considered as often as traditional voice and text message phone records when assessing accident causation due to potential driver distraction from phone usage. The purpose of this paper is to highlight the prevalence of instant messaging applications, the need to consider the usage of instant messaging applications when assessing potential driver and pedestrian distractions due to smartphone usage, and some initial tools for gathering data on usage of some of the applications.

The second cause of disability in Mexico is visual impairment; 26% population is blind. Even though blind people maintain a lower quality’s life than sighted people, there is not enough social interest to develop comprehensive solutions that improve it. Although many voice-activated emerging technologies use artificial intelligence to get human-machine communication through intelligent virtual assistants, such as Alexa, Siri, Google Home, and Cortana, among others, in reality, there have not been developed specific tools just for blind people that help them to improve their independent behavior because they always depend on other people in doing their daily tasks, more even when they need to move around unknown environments for them. This document reports the development of an autonomous mobility system to be operated by blind people. By audio reconstruction, it is possible to dictate, to the blind pedestrian, in real-time, the presence of traffic lights, crosswalks, and information about their current location. This system employs real-time computer vision tools, artificial intelligence, audio playback systems, and location systems, and it improves the independent behavior of blind people because they could move through unknown environments without the assistance of any sighted person, giving them greater independence and consequently increasing their life’s quality.

The paper considers the problem of creating a barrier-free space in urban agrorecreational eco-complexes for people with disabilities. Foreign and domestic publications on this and related topics are analyzed. The purpose of the research is set and the main tasks are defined in accordance with the purpose. Materials and research methods are defined in this article. The main terms and concepts are considered: vertical farm, low-mobile population groups, barrier-free envi-ronment, etc. The peculiarities of the criterion of accessibility, the criterion of informativeness, comfort are deter-mined. The requirements for urban agrorecreational eco-complexes design taking into account the needs of the people with limited mobility are analyzed and classified. The main means of barrier-free space in urban agrorecreational eco-complexes are determined. The main means of accessibility for the elements of the outdoor space of urban agro-recreational eco-complexes are analyzed: outdoor ramp, ramp exit, increased pedestrian crossing, lifting device, external stairs, parking space for a person with disabilities. The main means of accessibil-ity for the elements of the interior space of urban agro-recreational eco-complexes are considered: internal ramp, internal stairs, ramp, elevator, internal lifting device, escalator, bathroom for people with disabilities. The main means of universal (inclusive) design for elements of external and internal space of urban agro-recreational eco-complexes are revealed. Tactile elements of accessibility are considered: tactile guide strip, warning tactile strip, information tactile strip, tactile information pointer. Visual elements of accessibility were identified and analyzed: contrasting colored signs, information boards and informants. The sound elements of accessibility are analyzed: voice informers and sound beacons-alarms. An example of a voice informant combined with an information board and a tactile information index is presented. In accordance with the tasks in this article, conclusions are made about the main results of the study. Keywords: agrorecreation, ecocomplex, barrier-free, universality, design, means.

The fifth-generation new radio technology (5G NR) introduces improved functions to the air interface. In addition, the 5G NR non-standalone (NSA) will operate with long-term evolution, enabling vehicle-to-everything communications (V2X) for improved infotainment services. V2X includes four main classes of communications: vehicle-to-vehicle, vehicle-to-infrastructure, vehicle-to-pedestrian devices, and vehicle-to-network. However, the stringent transmission frequency, latency, and throughput requirements of infotainment applications constrain the transmitting packets of 5G-V2X-based NSA in highway scenarios. In this paper, the latency is improved by preventing the physical layer of gNodeB and the user equipment (UE) from sending redundant packets for service in a highway scenario. The proposed approach adopts an adaptive neuro-fuzzy inference system (ANFIS), a powerful modeling technique based on artificial neural networks ,and a fuzzy inference system. The performance of ANFIS is compared with that of the traditional 5G V2X NSA architecture in a simulation study using Voice over Internet Protocol (VoIP) traffic. The delays, throughputs, and packet losses of both architectures are determined in radio link control (RLC) and VoIP applications. The switch-modes, signal-to-interference-noise ratios (SINRs), hybrid automatic repeat request (HARQ) error rate, channel quality indicators (CQIs), served blocks, and transmission-state of gNodeB are computed for the two architectures for device-to-device (D2D), uplink (UL) and downlink (DL) traffic directions. The simulation results show comparable SINRs, CQIs, served blocks ,andswitchmodes in both scenarios, but the presented ANFIS model significantly outperforms the traditional architecture in delay by 66% in D2D, 29% in UL, 25% in DL, and packet loss by 21% in UL in RLC, the HARQ error rate by 9% in D2D, 30% in UL, 95% in DL, transmission-state in gNodeB by 29%, and the delay by 4% for UEs, and frame loss by 90%for UE in VoIP.

The process of changing approaches to interactive marketing communications, due to the development of 5G technology – high-speed data transmission over 5G wireless networks has been reviewed. The main facts about 5G technology have been given, the impact of its introduction on consumer behavior, the penetration of augmented and virtual reality technologies into everyday life and the change in the format of marketing communications in the following areas have been considered: retail and delivery of goods, virtual spaces for work and business, mobile cloud gaming and streaming, art, street traffic and parking, public transport, pedestrian and bicycle traffic, weather conditions and energy supply.The key directions of development of interactive marketing communications with the arrival of 5G have been considered: delivery of messages to any place and at any time, an increase in the number of connected devices, instant feedback, new formats and media.Conclusions have been drawn regarding the changes in interactive marketing communications: due to the ultra-high speeds of 5G, the loading time of the commercial will be significantly reduced, which will significantly improve the consumer experience at the level of using devices and applications. The same factor will affect the growth of mobile traffic, and, consequently, advertisers will have to think through advertising integrations more efficiently, adapting them for mobile devices and trying to make them more personalised. And the most obvious technology that will gain a large market share with the spread of 5G is augmented technology, which will become not just part of an unusual user experience, but a full-fledged and effective advertising campaign tool. Video content will gain an undisputed leadership among other types of content in the advertising market. Targeting and personalisation of content will become even more accurate and simpler, advertising offers to potential buyers will be more personalised, it is also supposed to transform advertising formats for audio messages and integrate voice assistants into various devices.

Railway crossings are high-risk areas that demand constant vigilance and attention to ensure the safety of passengers and other road users. Automatic gate systems have been widely used to mitigate these risks, but their effectiveness is limited by the reliance on visual cues and their inability to alert drivers or pedestrians who are deaf or hard of hearing. To address this limitation, we propose a voice-activated automatic gate railway system that uses voice commands to control the gates and employs an audio alarm to alert road users of the approaching train and will give also alarm who walk on the railway. Our system consists of a voice recognition module, a control unit, and a network of sensors that detect the presence of trains and road users. When a train is detected, the gate closes automatically, and the system generates a voice alarm to alert nearby road users. The voice recognition module ensures that the system can be operated hands-free, making it convenient for drivers and pedestrians. Moreover, the audio alarm feature ensures that people with hearing impairments are alerted to the approaching train. We evaluated the performance of the proposed system using a prototype installed at a railway crossing in a high-traffic area. Our results demonstrate that the system is reliable and effective, with a high degree of accuracy in voice recognition and a low false positive rate. Our findings suggest that the voice-activated automatic gate railway system with an audio alarm is a promising solution to enhance the safety and security of railway crossings.

Railway crossings are high-risk areas that demand constant vigilance and attention to ensure the safety of passengers and other road users. Automatic gate systems have been widely used to mitigate these risks, but their effectiveness is limited by the reliance on visual cues and their inability to alert drivers or pedestrians who are deaf or hard of hearing. To address this limitation, we propose a voice-activated automatic gate railway system that uses voice commands to control the gates and employs an audio alarm to alert road users of the approaching train and will give also alarm who walk on the railway. Our system consists of a voice recognition module, a control unit, and a network of sensors that detect the presence of trains and road users. When a train is detected, the gate closes automatically, and the system generates a voice alarm to alert nearby road users. The voice recognition module ensures that the system can be operated hands-free, making it convenient for drivers and pedestrians. Moreover, the audio alarm feature ensures that people with hearing impairments are alerted to the approaching train. We evaluated the performance of the proposed system using a prototype installed at a railway crossing in a high-traffic area. Our results demonstrate that the system is reliable and effective, with a high degree of accuracy in voice recognition and a low false positive rate. Our findings suggest that the voice-activated automatic gate railway system with an audio alarm is a promising solution to enhance the safety and security of railway crossings.

Railway crossings are high-risk areas that demand constant vigilance and attention to ensure the safety of passengers and other road users. Automatic gate systems have been widely used to mitigate these risks, but their effectiveness is limited by the reliance on visual cues and their inability to alert drivers or pedestrians who are deaf or hard of hearing. To address this limitation, we propose a voice-activated automatic gate railway system that uses voice commands to control the gates and employs an audio alarm to alert road users of the approaching train and will give also alarm who walk on the railway. Our system consists of a voice recognition module, a control unit, and a network of sensors that detect the presence of trains and road users. When a train is detected, the gate closes automatically, and the system generates a voice alarm to alert nearby road users. The voice recognition module ensures that the system can be operated hands-free, making it convenient for drivers and pedestrians. Moreover, the audio alarm feature ensures that people with hearing impairments are alerted to the approaching train. We evaluated the performance of the proposed system using a prototype installed at a railway crossing in a high-traffic area. Our results demonstrate that the system is reliable and effective, with a high degree of accuracy in voice recognition and a low false positive rate. Our findings suggest that the voice-activated automatic gate railway system with an audio alarm is a promising solution to enhance the safety and security of railway crossings.

In this paper, we present a walking guidance system for the visually impaired pedestrians. The system has been designed to help the visually impaired by responding intelligently to various situations that can occur in unrestricted natural outdoor environments when walking and finding the destinations. It involves the main functions of people detection, text recognition, face recognition. In addition, added sophisticated functions of walking path guidance using Differential Global Positioning System, obstacle detection using a stereo camera and voice user, interface are included. In order to operate all functions concurrently, we develop approaches in real situations and integrate them. Finally, we experiment on a prototype system under natural environments in order to verify our approaches. The results show that our approaches are applicable to real situations.

Abstract A main tenet of age-friendly principles is that the voices of older people should be guiding improvements to their communities. The purpose of this collaborative citizen science project was to examine the age-friendliness of a neighborhood in Lagos Nigeria in terms of its characteristics to enable physical activity. Citizen scientists (13 older adults, seven men and six women, 65 to 86 years old) were involved in data collection, analysis, and priority setting. For data collection, they used the Stanford Healthy Neighborhood Discovery Tool application on a tablet to record 156 photos and 151 commentaries (text and audio) of neighborhood barriers and facilitators to physical activity. The collaborative analysis and priority setting process led to the following facilitators being identified: pedestrian and traffic facilities (e.g., traffic lights, walkways); green areas and parks; multi-generational community features (e.g., programs / facilities); opportunities for social connection (e.g., neighborhood associations, churches); safety of destinations and services; and public toilets. Barriers included: hazardous walkways / traffic; noise pollution; refuse; selling of public parks; crime (e.g., kidnapping, criminal hideouts); no safe drinking water; and ageism. The identified priorities for change in this Nigerian neighborhood included both social and physical aspects of the environment: social connectivity; improved pedestrian and traffic facilities; and green and beautiful environments. By meaningfully engaging older adults, this type of approach shows promise for communities in making age-friendly changes.

<abstract> <p>Unusual states of manhole covers (MCs), such as being tilted, lost or flooded, can present substantial safety hazards and risks to pedestrians and vehicles on the roadway. Most MCs are still being managed through manual regular inspections and have limited information technology integration. This leads to time-consuming and labor-intensive identification with a lower level of accuracy. In this paper, we propose an edge computing-based intelligent monitoring system for manhole covers (EC-MCIMS). Sensors detect the MC and send status and positioning information via LoRa to the edge gateway located on the nearby wisdom pole. The edge gateway utilizes a lightweight machine learning model, trained on the edge impulse (EI) platform, which can predict the state of the MC. If an abnormality is detected, the display and voice device on the wisdom pole will respectively show and broadcast messages to alert pedestrians and vehicles. Simultaneously, the information is uploaded to the cloud platform, enabling remote maintenance personnel to promptly repair and restore it. Tests were performed on the EI platform and in Dongguan townships, demonstrating that the average response time for identifying MCs is 4.81 s. Higher responsiveness and lower power consumption were obtained compared to cloud computing models. Moreover, the system utilizes a lightweight model that better reduces read-only memory (ROM) and random-access memory (RAM), while maintaining an average identification accuracy of 94%.</p> </abstract>

Background Smartphone addiction has become a reality accepted by all. Some previous studies have shown that the use of smartphones on public roads while walking is very common among the young population. The term “smombie” or smartphone zombie has been coined for this behavior. Such behavior causes a reduction in the attention given to other pedestrians and drivers and may result in accidents or collisions. However, there are no precise data about how many people use the phone while they are walking on the street. Smartphone usage habits are evolving rapidly, and more in-depth information is required, particularly about how users interact with their devices while walking: traditional phone conversations (phone close to the ear), voice chats (phone in front of the head), waiting for notifications (phone in hand), text chats (user touching the screen), etc. This in-depth information may be useful for carrying out specific preventive actions in both the education field (raising awareness about the risks) and in the infrastructure field (redesigning the cities to increase safety). Objective This study aimed to gather information about pedestrians’ smartphone usage and to identify population groups wherein interventions should be focused to prevent accidents. The main hypothesis was that gender, age, and city area can significantly influence the smartphone usage of the pedestrians while walking. Methods An observational study of pedestrians in the street was carried out in Elche, a medium-sized Spanish city of 230,000 inhabitants. The following data were gathered: gender, age group, location, and type of smartphone interaction. A specific smartphone app was developed to acquire data with high reliability. The statistical significance of each variable was evaluated using chi-squared tests, and Cramér’s V statistic was used to measure the effect sizes. Observer agreement was checked by the Cohen kappa analysis. Results The behavior of 3301 pedestrians was analyzed, of which 1770 (53.6%) were females. As expected, the effect of the main variables studied was statistically significant, although with a small effect size: gender (P<.001, V=0.12), age (P<.001, V=0.18), and city area (P<.001, V=0.16). The phone in hand or “holding” behavior was particularly dependent on gender for all age groups (P<.001, V=0.09) and to a greater extent in young people (P<.001, V=0.16). Approximately 39.7% (222/559) of the young women observed showed “holding” or “smombie” behavior, and they comprised the highest proportion among all age and gender groups. Conclusions An in-depth analysis of smartphone usage while walking revealed that certain population groups (especially young women) have a high risk of being involved in accidents due to smartphone usage. Interventions aimed at reducing the risk of falls and collisions should be focused in these groups.

Unmanned aerial vehicles (UAV) and related technologies have played an active role in the prevention and control of novel coronaviruses at home and abroad, especially in epidemic prevention, surveillance, and elimination. However, the existing UAVs have a single function, limited processing capacity, and poor interaction. To overcome these shortcomings, we designed an intelligent anti-epidemic patrol detection and warning flight system, which integrates UAV autonomous navigation, deep learning, intelligent voice, and other technologies. Based on the convolution neural network and deep learning technology, the system possesses a crowd density detection method and a face mask detection method, which can detect the position of dense crowds. Intelligent voice alarm technology was used to achieve an intelligent alarm system for abnormal situations, such as crowd-gathering areas and people without masks, and to carry out intelligent dissemination of epidemic prevention policies, which provides a powerful technical means for epidemic prevention and delaying their spread. To verify the superiority and feasibility of the system, high-precision online analysis was carried out for the crowd in the inspection area, and pedestrians’ faces were detected on the ground to identify whether they were wearing a mask. The experimental results show that the mean absolute error (MAE) of the crowd density detection was less than 8.4, and the mean average precision (mAP) of face mask detection was 61.42%. The system can provide convenient and accurate evaluation information for decision-makers and meets the requirements of real-time and accurate detection.

ABSTRACTThis paper has re-analysed and compared data between three studies conducted in the United Kingdom and in Sweden (the OPUS ‘Older People's Use of Unfamiliar Space’ study in the United Kingdom and the Swedish studies ‘Let's Go for a Walk’ and ‘Walking in Old Age’) to provide a comprehensive account of the issues facing older people in the outdoor environment. All three studies draw on the ‘fit’ between the person and their environment as a guiding conceptual base – capturing the dynamics of the relationship between older people's personal needs and their wider environmental context. This common conceptual base allowed us to test theory against practice, and to explore the utility of this concept across different geographical contexts. Participatory research was also applied, highlighting the importance of the voice of older people and involving older people in research. The studies also used a mixed-method approach involving both quantitative and qualitative methods. The paper highlights that although not generalisable, you can compare cross-locales and cross-nationally using different methodology; it investigates the challenges of cross-national comparative analysis and draws on findings from the three studies to illustrate the different challenges and solutions and finally looks at lessons that are transferable.

Red light running (RLR) has been an important issue among transportation officials seeking to make intersections safer for drivers and pedestrians. Many cities in the United States have started programs aimed at reducing the number of red light violations, and many of these programs include the use of automated enforcement utilizing a camera to record violations. Previous research on such enforcement has quantified the rate of its public acceptance through surveys; however, little research has been performed probing the reactions and concerns of the public toward red light cameras. For this study, focus groups were used to investigate the attitudes, beliefs, and perceptions of the public toward RLR and red light cameras. Fifteen focus groups were held throughout North Carolina with representatives from organizations interested in and knowledgeable about traffic safety, traffic engineering, and traffic law enforcement, as well as with people not professionally involved in law enforcement or traffic engineering. Some of the focus group discussions involved such issues as determining an appropriate RLR grace period, developing an educational campaign, addressing financial issues, and determining appropriate penalties for RLR violations. Participants voiced their opinions on both sides of the issues; for instance, many participants said they strongly believed there should be some sort of grace period with automated enforcement, whereas others said they felt a zero-tolerance policy should be used. Also, many participants voiced their unequivocal support for automated enforcement, whereas others expressed concerns.

Background: The walking school bus (WSB) is a promising intervention to increase walking to school and physical activity in school-age children. The aim of this qualitative study was to assess parent perceptions of a WSB program that was part of a randomized controlled trial to inform future programs. Methods: The authors interviewed 45 parents whose children had participated in a WSB program in the Seattle area, in which third- and fifth-grade students walked to/from school with adult chaperones along a set route. The authors performed a qualitative analysis of the interview transcripts and coded interview segments into 4 broad categories as follows: facilitators, barriers, general positive sentiments, and proposals. Results: Most parents spoke of the benefits of the WSB program; in particular, parents frequently applauded exercise/physical health benefits. Of the barriers, the most frequently cited was time, with work schedule and commute changes leading some families to walk less frequently. Conclusions: Most parents voiced support for the WSB program as a means to improve child health, to learn pedestrian safety, and to interact with positive adult role models. Parents made several suggestions to improve the program, including better recruitment methods, logistical improvements, and a platform for communicating with other parents.

Aiming at the current problems in the safety monitoring of urban manhole covers, this paper proposes a safety monitoring system for manhole covers based on smart light poles. The system uses STM32F103C8T6 as the microcontroller, and processes and controls the movement, loss, tilt, flooding, and positioning data of the manhole cover. Then, the data frame is sent to the LoRa gateway of the nearby smart light pole through the LoRa communication protocol, and the LoRa gateway will transmit the abnormal state of the manhole cover to the large screen display of the smart light pole through the bus. At the same time, a voice broadcast is carried out to remind localized road vehicles and pedestrians. Besides, it is sent to the IoT cloud platform KitLink, and the cloud platform will push the abnormal status data to the subscribed management user, and the user will quickly process it according to the positioning data. Among them, the terminal sensing control device of the manhole cover adopts an integrated package, and at the same time, it is installed at the center point under the manhole cover by using a waterproof material. It can not only carry out reliable and accurate installation without changing the original components but also can effectively monitor the safety. Through the design and implementation test of the system, it can be seen that the system can efficiently and accurately realize all-round and multi-modal safety linkage monitoring of urban manhole covers.

Abstract: These days, an ever-increasing number of professions require long time focus. Drivers should watch out for the street, so they can respond to abrupt occasions right away. Due to driving for a long time or intoxication, drivers might feel sleepy, which is the biggest distraction for them while driving. This distraction might cost the death of the driver and other passengers in the vehicle, and at the same time, it also causes the death of people in the other vehicles and pedestrians too. To prevent such accidents, we propose a system that helps to alert the driver if he/she feels drowsy. To accomplish this, we implement the solution using a computer-vision-based machine learning model. The driver’s face is detected by a face recognition algorithm continuously using a camera, and the face of the driver is captured. The face of the driver is given as input to a classification algorithm which is trained with a data set of images of drowsy and non-drowsy faces. The algorithm uses landmark detection to classify the face as drowsy or not drowsy. If the driver’s face is drowsy, a voice alert is generated by the system. This alert can make the driver aware that he/she is feeling drowsy, and the necessary actions can then be taken by the driver. This system can be used in any vehicle on the road to ensure the safety of the people who are traveling and prevent accidents that are caused due to the drowsiness of the driver

Vision is one of the most important human senses, accounting for most of the external information pedestrians receive while crossing the street. However, distracted mobile phone usage during street crossing consumes pedestrians’ cognitive resources and diverts their visual attention. As a result, pedestrians may be unable to fully concentrate on observing the traffic environment and effectively planning their crossing path and behavior. This study evaluated the effect of pedestrian behavioral activities at street crossings on eye-movement (EM) characteristics. The crossing tasks were natural behavior, voice call, text messaging, and listening to music. The tasks were further categorized as simple or complex. A total of 29 participants were recruited in Nanjing: 18 males (62.1%) and 11 females (37.9%) with an average age of 23.59 years (SD = 2.44). The Friedman test was used to analyze differences in saccade frequency, fixation time, browsing number, and browsing time across different scenarios. Text messaging had the most significant impact on pedestrians’ EM characteristics, followed by voice call; music listening had a relatively weaker effect. Secondary task difficulty influenced the percentage of browsing, viewing, and to some extent gaze time. On the other hand, music rhythm and style only partially influenced the percentage of gaze and gaze time. Mobile phones substantially affected pedestrians’ EM characteristics and attention allocation for the same level of secondary task difficulty. These findings contribute to a better understanding of pedestrians’ visual characteristics under distracted mobile phone usage conditions and provide valuable insights for developing appropriate measures to enhance pedestrian safety.

Facilitating navigation in pedestrian environments is critical for enabling people who are blind and visually impaired (BVI) to achieve independent mobility. A deep reinforcement learning (DRL)–based assistive guiding robot with ultrawide-bandwidth (UWB) beacons that can navigate through routes with designated waypoints was designed in this study. Typically, a simultaneous localization and mapping (SLAM) framework is used to estimate the robot pose and navigational goal; however, SLAM frameworks are vulnerable in certain dynamic environments. The proposed navigation method is a learning approach based on state-of-the-art DRL and can effectively avoid obstacles. When used with UWB beacons, the proposed strategy is suitable for environments with dynamic pedestrians. We also designed a handle device with an audio interface that enables BVI users to interact with the guiding robot through intuitive feedback. The UWB beacons were installed with an audio interface to obtain environmental information. The on-handle and on-beacon verbal feedback provides points of interests and turn-by-turn information to BVI users. BVI users were recruited in this study to conduct navigation tasks in different scenarios. A route was designed in a simulated ward to represent daily activities. In real-world situations, SLAM-based state estimation might be affected by dynamic obstacles, and the visual-based trail may suffer from occlusions from pedestrians or other obstacles. The proposed system successfully navigated through environments with dynamic pedestrians, in which systems based on existing SLAM algorithms have failed.

Abstract Background and Objectives Global organizations are advocating that older persons’ voices should guide communities in age-friendly design. An important aspect of age-friendliness to enable daily function and health is ensuring that physical activity can occur, regardless of age, within local neighborhoods. Research Design and Methods This study used a specific citizen science approach, Our Voice, to engage a sample (N = 13) of older adults (60 or older) in Festac Town, Nigeria. The citizen scientists’ roles were to assess and identify how different aspects of the neighborhood environment act as supports or barriers to their physical activity participation. They were individually enabled using a tablet-based mobile application called the Stanford Healthy Neighborhood Discovery Tool to record a total of 156 geocoded photos and 151 commentaries of neighborhood environmental features that facilitate or hinder physical activity in and around their neighborhoods. In a guided process, the following occurred: collaborative discussions of findings with other citizen scientists to determine common targets, setting of priority targets for change, and brainstorming strategies and solutions. Results Facilitators of physical activity included: pedestrian and traffic facilities (e.g., traffic lights, walkways); green areas and parks; multi-generational community features (e.g., programs / facilities); opportunities for social connection (e.g., neighborhood associations, churches); safety of destinations and services; and public toilets. Barriers to physical activity included: hazardous walkways / traffic; noise pollution; refuse, selling of public parks; crime (e.g., kidnapping, criminal hideouts); no safe drinking water; and ageism. The priorities for changes were social connectivity; improved pedestrian and traffic facilities; and green and beautiful environments. Discussion and Implications In this study, both physical and social aspects of the environment were deemed important for older Nigerians to enable physical activity in their local community. This approach has a promise for age-friendly initiatives seeking local changes by meaningfully engaging older adults.

Abstract Procedural justice has emerged as a crucial dimension of fairness in policing. It encompasses the extent to which police officers listen to citizens, show care for the well-being of citizens, act with neutrality, and show respect to them. These matters arise during police-citizen interactions, such as police stop and search of citizens. In this study, we draw on a random sample of 150 stop-and-search encounters recorded on police body-worn cameras in a police force in England (UK) to assess police adherence to procedural justice principles. The analysis shows high ratings on voice, neutrality, and respect but relatively low score on trustworthy motives. We found evidence of procedural justice variability across police jurisdictions. However, there was no evidence of an association between procedural justice and outcomes of stop-and-search interactions. The implications of the findings are discussed.

Abstract Multilevel interventions are increasingly recommended to increase physical activity (PA) but can present evaluation challenges. Participatory qualitative evaluation methods can complement standard quantitative methods by identifying participant-centered outcomes and potential mechanisms of individual and community-level change. We assessed the feasibility and utility of Ripple Effects Mapping (REM), a novel qualitative method, within the context of a multi-level cluster randomized trial, Steps for Change. Housing sites with ethnically diverse, low-income aging adults were randomized to a PA behavioral intervention alone or in combination with a citizen science-based intervention (Our Voice) for promoting PA-supportive neighborhoods. Four REM sessions were conducted after 12 months of intervention and involved six housing sites (n = 35 participants) stratified by intervention arm. Interviews (n = 5) were also conducted with housing site staff. Sessions leaders engaged participants in visually mapping intended and unintended outcomes of intervention participation and participant-driven solutions to reported challenges. Maps were analyzed using Excel and Xmind 8 Pro and data were classified according to the socio-ecological model. Eight themes were identified for outcomes, challenges, and solutions. Most themes (6/8) were similar across intervention arms, including increasing PA and PA tracking, improving health outcomes, and increasing social connectedness. Groups (n = 2) engaged in Our Voice additionally identified increased community knowledge and activities directly impacting local environmental change (e.g., pedestrian infrastructure changes). Housing staff interviews revealed additional information to enhance future intervention recruitment, sustainability, and implementation. Such qualitative methodologies can aid in evaluating multi-level, multi-component interventions and inform future intervention optimization, implementation, and dissemination.

AbstractThe Care Block of Bogotá, Colombia, is an urban program that offers services for low-income unpaid caregivers. This study aimed to (i) characterize unpaid caregivers’ subjective well-being, mental health symptoms, physical activity levels, and use of public spaces linked to the Care Block; (ii) identify caregivers’ perceived built and social environment facilitators and barriers to accessing the Care Block facility; and (iii) document the community-led advocacy process to improve the Care Block program. The quantitative component included a subjective well-being and mental health symptoms survey, and the System for Observing Play and Recreation in Communities (SOPARC) instrument. The qualitative component included the Our Voice citizen science method augmented with portable virtual reality equipment to engage participants in advocacy for changes. Participants (median age of 53 years) dedicated a median of 13.8 h a day to unpaid caregiving, had an average subjective well-being score of 7.0, and 19.1% and 23.8% reported having depression and generalized anxiety symptoms respectively. Caregivers reported that the program fosters their perception of purpose, enjoyment, resilience, and cognitive and emotional awareness. SOPARC evaluation showed that most women engaged in moderate to vigorous physical activity. The caregivers highlighted education, physical activity services, and integration of facilities as facilitators to accessing the Care Block program. Poor quality and lack of sidewalks and roads, limited personal safety, and the risk of pedestrian-vehicle collisions were identified as barriers. Virtual Reality sparked compelling dialogue between participants and stakeholders, allowing stakeholders to reflect on an urban program facilitating unpaid care work.

Street to guarantee a secure and efficient flow of traffic. Street accidents sometimes occur on account of carelessness in reading traffic signs incorrectly. The suggested framework aids in recognizing the stop sign and giving a voice warning to the motorist for the speaker to make their point, and crucial decisions. The proposed framework is prepared Using a Convolutional Neural Network (CNN), which aids with the recognition and arranging of rush hour congestion sign pictures. To increase precision, a number are of classes generated and characterized on a particular dataset. Utilized was the German Traffic Sign Benchmarks Dataset, which includes 51,900 pictures of road signage in 43 classifications. Around 98.52 percent during execution was precise. After the framework recognizes the sign, the driver is informed through a voice alarm issued through the speaker. The suggested framework also includes a section where drivers are warned about nearby traffic signs so they can keep track of which laws to follow while on a highway. The system’s goal is to protect the driver, passengers, and pedestrians from harm.

Abstract—To ensure a smooth and secure flow of traffic, road signs are essential. A major cause of road accidents is negligence in viewing the Traffic signboards and interpreting them incorrectly. The proposed system helps in recognizing the Traffic sign and sending a voice alert through the speaker to the driver so that he/ she may take necessary decisions. The proposed system is trained using Convolutional Neural Network (CNN) which helps in traffic sign image recognition and classification. A set of classes are defined and trained on a particular dataset to make it more accurate. The German Traffic Sign Benchmarks Dataset was used, which contains approximately 43 categories and 51,900 images of traffic signs. The accuracy of the execution is about 98.52 percent. Following the detection of the sign by the system, a voice alert is sent through the speaker which notifies the driver. The proposed system also contains a section where the vehicle driver is alerted about the traffic signs in the near proximity which helps them to be aware of what rules to follow on the route. The aim of this system is to ensure the safety of the vehicle's driver, passengers, and pedestrians. Keywords—Convolutional Neural Network, GTSRB Dataset, Object Detection, Object Classification Traffic, Traffic Signs, Voice Alert

IntroductionThis short article examines contemporary artistic use of walkie-talkies across two projects: Saturday (2002) by Sabrina Raaf and Walk That Sound (2014) by Lukatoyboy. Drawing on Dominic Pettman’s notion of sonic intimacy, I argue that both artists incorporate walkie-talkies as part of their explorations of mediated wandering, and in ways that seek to capture sonic ambiances and intimacies. One thing that is striking about both these works is that they rethink what’s possible with walkie-talkies; both artists use them not just as low-tech, portable devices for one-to-one communication over distance, but also—and more strikingly—as (covert) recording equipment for capturing, while wandering, snippets of intimate conversation between passers-by and the “voice” of the surrounding environment. Both artworks strive to make the familiar strange. They prompt us to question our preconceived perceptions of, and affective engagements with, the people and places around us, to listen more attentively to the voices of others (and the “Other”), and to aurally inhabit in new ways the spaces and places we find ourselves in and routinely pass through.The walkie-talkie is an established, simple communication device, consisting of a two-way radio transceiver with a speaker and microphone (in some cases, the speaker is also used as the microphone) and an antenna (Wikipedia). Walkie-talkies are half-duplex communication devices, meaning that they use a single radio channel: only one radio on the channel can transmit at a time, but many can listen; when a user wishes to talk, they must turn off the receiver and turn on the transmitter by pressing a push-to-talk button (Wikipedia). In some models, static—known as squelch—is produced each time the push-to-talk button is depressed. The push-to-talk button is a feature of both projects: in Saturday, it transforms the walkie-talkie into a cheap, portable recorder-transmitter. In Walk That Sound, rapid fire exchanges of conversation using the push-to-talk button feature strongly.Interestingly, walkie-talkies were developed during World War Two. While they continue to be used within certain industrial settings, they are perhaps best known as a “quaint” household toy and “fun tool” (Smith). Early print ads for walkie-talkie toys marketed them as a form of both spyware for kids (with the Gabriel Toy Co. releasing a 007-themed walkie-talkie set) and as a teletechnology for communication over distance—“how thrilling to ‘speak through space!’”, states one ad (Statuv “New!”). What is noteworthy about these early ads is that they actively promote experimental use of walkie-talkies. For instance, a 1953 ad for Vibro-Matic “Space Commander” walkie-talkies casts them as media transmission devices, suggesting that, with them, one can send and receive “voice – songs – music” (Statuv “New!”). In addition, a 1962 ad for the Knight-Kit walkie-talkie imagines “you’ll find new uses for this exciting walkie-talkie every day” (Statuv “Details”). Resurgent interest in walkie-talkies has seen them also promoted more recently as intimate tools “for communication without asking permission to communicate” (“Nextel”); this is to say that they have been marketed as devices for synchronous or immediate communication that overcome the limits of asynchronous communication, such as texting, where there might be substantial delays between the sending of a message and receipt of a response. Within this context, it is not surprising that Snapchat and Instagram have also since added “walkie-talkie” features to their messaging services. The Nextel byline, emphasising “without asking permission”, also speaks to the possibilities of using walkie-talkies as rudimentary forms of spyware.Within art practice that explores mediated forms of wandering—that is, walking while using media and various “remote transmission technologies” (Duclos 233)—walkie-talkies hold appeal for a number of reasons, including their particular aesthetic qualities, such as the crackling or static sound (squelch) that one encounters when using them; their portability; their affordability; and, the fact that, while they can be operated on multiple channels, they tend to be regarded primarily as devices that permit two-way, one-to-one (and therefore intimate, if not secure) remote communication. As we will see below, however, contemporary artists, such as the aforementioned earlier advertisers, have also been very attentive to the device’s experimental possibilities. Perhaps the best known (if possibly apocryphal) example of artistic use of walkie-talkies is by the Situationist International as part of their explorations in urban wandering (a revolutionary strategy called dérive). In the Situationist text from 1960, Die Welt als Labyrinth (Anon.), there is a detailed account of how walkie-talkies were to form part of a planned dérive, which was organised by the Dutch section of the Situationist International, through the city of Amsterdam, but which never went ahead:Two groups, each containing three situationists, would dérive for three days, on foot or eventually by boat (sleeping in hotels along the way) without leaving the center of Amsterdam. By means of the walkie-talkies with which they would be equipped, these groups would remain in contact, with each other, if possible, and in any case with the radio-truck of the cartographic team, from where the director of the dérive—in this case Constant [Nieuwenhuys]—moving around so as to maintain contact, would define their routes and sometimes give instructions (it was also the director of the dérive’s responsibility to prepare experiments at certain locations and secretly arranged events.) (Anon.) This proposed dérive formed part of Situationist experiments in unitary urbanism, a process that consisted of “making different parts of the city communicate with one another.” Their ambition was to create new situations informed by, among other things, encounters and atmospheres that were registered through dérive in order to reconnect parts of the city that were separated spatially (Lefebvre quoted in Lefebvre and Ross 73). In an interview with Kristin Ross, Henri Lefebvre insists that the Situationists “did have their experiments; I didn’t participate. They used all kinds of means of communication—I don’t know when exactly they were using walkie-talkies. But I know they were used in Amsterdam and in Strasbourg” (Lefebvre quoted in Lefebvre and Ross 73). However, as Rebecca Duclos points out, such use “is, in fact, not well documented”, and “none of the more well-known reports on situationist activity […] specifically mentions the use of walkie-talkies within their descriptive narratives” (Duclos 233). In the early 2000s, walkie-talkies also figured prominently, alongside other media devices, in at least two location-based gaming projects by renowned British art collective Blast Theory, Can You See Me Now? (2001) and You Get Me (2008). In the first of these projects, participants in the game (“online players”) competed against members of Blast Theory (“runners”), tracking them through city streets via a GPS-enabled handheld computer that runners carried with them. The goal for online players was to move an avatar they created through a virtual map of the city as multiple runners “pursued their avatar’s geographical coordinates in real-time” (Leorke). As Dale Leorke explains, “Players could see the locations of the runners and other players and exchange text messages with other players” (Leorke 27), and runners could “read players’ messages and communicate directly with each other through a walkie-talkie” (28). An audio stream from these walkie-talkie conversations allowed players to eavesdrop on their pursuers (Blast Theory, Can You See Me Now?).You Get Me was similarly structured, with online players and “runners” (eight teenagers who worked with Blast Theory on the game). Remotely situated online players began the game by listening to the “personal geography” of the runners over a walkie-talkie stream (Blast Theory, You Get Me). They then selected one runner, and tracked them down by navigating their own avatar, without being caught, through a virtual version of Mile End Park in London, in pursuit of their chosen runner who was moving about the actual Mile End Park. Once their chosen runner was contacted, the player had to respond to a question that the runner posed to them. If the runner was satisfied with the player’s answer, conversation switched to “the privacy of a mobile phone” in order to converse further; if not, the player was thrown back into the game (Blast Theory, You Get Me). A key aim of Blast Theory’s work, as I have argued elsewhere (Wilken), is the fostering of interactions and fleeting intimacies between relative and complete strangers. The walkie-talkie is a key tool in both the aforementioned Blast Theory projects for facilitating these interactions and intimacies.Beyond these well-known examples, walkie-talkies have been employed in productive and exploratory ways by other artists. The focus in this article is on two specific projects: the first by US-based sound artist Sabrina Raaf, called Saturday (2002) and the second by Serbian sound designer Lukatoyboy (Luka Ivanović), titled Walk That Sound (2014). Sonic IntimaciesThe concept that gives shape and direction to the analysis of the art projects by Raaf and Lukatoyboy and their use of walkie-talkies is that of sonic intimacy. This is a concept of emerging critical interest across media and sound studies and geography (see, for example, James; Pettman; Gallagher and Prior). Sonic intimacy, as Dominic Pettman explains, is composed of two simultaneous yet opposing orientations. On the one hand, sonic intimacy involves a “turning inward, away from the wider world, to more private and personal experiences and relationships” (79). While, on the other hand, it also involves a turning outward, to seek and heed “the voice of the world” (79)—or what Pettman refers to as the “vox mundi” (66). Pettman conceives of the “vox mundi” as an “ecological voice”, whereby “all manner of creatures, agents, entities, objects, and phenomena” (79) have the opportunity to speak to us, if only we were prepared to listen to our surroundings in new and different ways. In a later passage, he also refers to the “vox mundi” as a “carrier or potentially enlightening alterity” (83). Voices, Pettman writes, “transgress the neat divisions we make between ‘us’ and ‘them’, at all scales and junctures” (6). Thus, Pettman’s suggestion is that “by listening to the ‘voices’ that lie dormant in the surrounding world […] we may in turn foster a more sustainable relationship with [the] local matrix of specific existences” (85), be they human or otherwise.This formulation of sonic intimacy provides a productive conceptual frame for thinking through Raaf’s and Lukatoyboy’s use of walkie-talkies. The contention in this article is that these two projects are striking for the way that they both use walkie-talkies to explore, simultaneously, this double articulation or dual orientation of sonic intimacy—a turning inwards to capture more private and personal experiences and conversations, and a turning outwards to capture the vox mundi. Employing Pettman’s notion of sonic intimacy as a conceptual frame, I trace below the different ways that these two projects incorporate walkie-talkies in order to develop mediated forms of wandering that seek to capture place-based sonic ambiances and sonic intimacies.Sabrina Raaf, Saturday (2002)US sound artist Sabrina Raaf’s Saturday (2002) is a sound-based art installation based on recordings of “stolen conversations” that Raaf gathered over many Saturdays in Humboldt Park, Chicago. Raaf’s work harks back to the early marketing of walkie-talkie toys as spyware. In Raaf’s hands, this device is used not for engaging in intimate one-to-one conversation, but for listening in on, and capturing, the intimate conversations of others. In other words, she uses this device, as the Nextel slogan goes, for “communication without permission to communicate” (“Nextel”). Raaf’s inspiration for the piece was twofold. First, she has noted that “with the overuse of radio frequency bands for wireless communications, there comes the increased occurrence of crossed lines where a private conversation becomes accidentally shared” (Raaf). Reminiscent of Francis Ford Coppola’s film The Conversation (1974), in which surveillance expert Harry Caul (Gene Hackman) records the conversation of a couple as they walk through crowded Union Square in San Francisco, Raaf used a combination of walkie-talkies, CB radios, and “various other forms of consumer spy […] technology in order to actively harvest such communication leaks” (Raaf). The second source of inspiration was noticing the “sheer quantity of non-phone, low tech, radio transmissions that were constantly being sent around [the] neighbourhood”, transmissions that were easily intercepted. These conversations were eclectic in composition and character:The transmissions included communications between gang members on street corners nearby and group conversations between friends talking about changes in the neighbourhood and their families. There were raw, intimate conversations and often even late night sex talk between potential lovers. (Raaf)What struck Raaf about these conversations, these transmissions, was that there was “a furtive quality” to most of them, and “a particular daringness to their tone”.During her Saturday wanderings, Raaf complemented her recordings of stolen snippets of conversation with recordings of the “voice” of the surrounding neighbourhood—“the women singing out their windows to their radios, the young men in their low rider cars circling the block, the children, the ice cream carts, etc. These are the sounds that are mixed into the piece” (Raaf).Audience engagement with Saturday involves a kind of austere intimacy of its own that seems befitting of a surveillance-inspired sonic portrait of urban and private life. The piece is accessed via an interactive glove. This glove is white in colour and about the size of a large gardening glove, with a Velcro strap that fastens across the hand, like a cycling glove. The glove, which only has coverings for thumb and first two fingers (it is missing the ring and little fingers) is wired into and rests on top of a roughly A4-sized white rectangular box. This box, which is mounted onto the wall of an all-white gallery space at the short end, serves as a small shelf. The displayed glove is illuminated by a discrete, bent-arm desk lamp, that protrudes from the shelf near the gallery wall. Above the shelf are a series of wall-mounted colour images that relate to the project. In order to hear the soundtrack of Saturday, gallery visitors approach the shelf, put on the glove, and “magically just press their fingertips to their forehead [to] hear the sound without the use of their ears” (Raaf). The glove, Raaf explains, “is outfitted with leading edge audio electronic devices called ‘bone transducers’ […]. These transducers transmit sound in a very unusual fashion. They translate sound into vibration patterns which resonate through bone” (Raaf).Employing this technique, Raaf explains, “permits a new way of listening”:The user places their fingers to their forehead—in a gesture akin to Rodin’s The Thinker or of a clairvoyant—in order to tap into the lives of strangers. Pressing different combinations of fingers to the temple yield plural viewpoints and group conversations. These sounds are literally mixed in the bones of the listener. (Raaf) The result is a (literally and figuratively) touching sonic portrait of Humboldt Park, its residents, and the “voice” of its surrounding neighbourhoods. Through the unique technosomatic (Richardson) apparatus—combinations of gestures that convey the soundscape directly through the bones and body—those engaging with Saturday get to hear voices in/of/around Humboldt Park. It is a portrait that combines sonic intimacy in the two forms described earlier in this article. In its inward-focused form, the gallery visitor-listener is positioned as a voyeur of sorts, listening into stolen snippets of private and personal relationships, experiences, and interactions. And, in its outward-focused form, the gallery visitor-listener encounters a soundscape in which an array of agents, entities, and objects are also given a voice. Additional work performed by this piece, it seems to me, is to be found in the intermingling of these two form of sonic intimacy—the personal and the environmental—and the way that they prompt reflection on mediation, place, urban life, others, and intimacy. That is to say that, beyond its particular sonic portrait of Humboldt Park, Saturday works in “clearing some conceptual space” in the mind of the departing gallery visitor such that they might “listen for, if not precisely to, the collective, polyphonic ‘voice of the world’” (Pettman 6) as they go about their day-to-day lives.Lukatoyboy, Walk That Sound (2014)The second project, Walk That Sound, by Serbian sound artist Lukatoyboy was completed for the 2014 CTM festival. CTM is an annual festival event that is staged in Berlin and dedicated to “adventurous music and art” (CTM Festival, “About”). A key project within the festival is CTM Radio Lab. The Lab supports works, commissioned by CTM Festival and Deutschlandradio Kultur – Hörspiel/Klangkunst (among other partnering organisations), that seek to pair and explore the “specific artistic possibilities of radio with the potentials of live performance or installation” (CTM Festival, “Projects”). Lukatoyboy’s Walk That Sound was one of two commissioned pieces for the 2014 CTM Radio Lab. The project used the “commonplace yet often forgotten walkie-talkie” (CTM Festival, “Projects”) to create a moving urban sound portrait in the area around the Kottbusser Tor U-Bahn station in Berlin-Kreuzberg. Walk That Sound recruited participants—“mobile scouts”—to rove around the Kottbusser Tor area (CTM Festival, “Projects”). Armed with walkie-talkies, and playing with “the array of available and free frequencies, and the almost unlimited amount of users that can interact over these different channels”, the project captured the dispatches via walkie-talkie of each participant (CTM Festival, “Projects”). The resultant recording of Walk That Sound—which was aired on Deutschlandradio (see Lukatoyboy), part of a long tradition of transmitting experimental music and sound art on German radio (Cory)—forms an eclectic soundscape.The work juxtaposes snippets of dialogue shared between the mobile scouts, overheard mobile phone conversations, and moments of relative quietude, where the subdued soundtrack is formed by the ambient sounds—the “voice”—of the Kottbusser Tor area. This voice includes distant traffic, the distinctive auditory ticking of pedestrian lights, and moments of tumult and agitation, such as the sounds of construction work, car horns, emergency services vehicle sirens, a bottle bouncing on the pavement, and various other repetitive yet difficult to identify industrial sounds. This voice trails off towards the end of the recording into extended walkie-talkie produced static or squelch. The topics covered within the “crackling dialogues” (CTM Festival, “Projects”) of the mobile scouts ranged widely. There were banal observations (“I just stepped on a used tissue”; “people are crossing the street”; “there are 150 trains”)—wonderings that bear strong similarities with French writer Georges Perec’s well-known experimental descriptions of everyday Parisian life in the 1970s (Perec “An Attempt”). There were also intimate, confiding, flirtatious remarks (“Do you want to come to Turkey with me?”), as well as a number of playfully paranoid observations and quips (“I like to lie”; “I can see you”; “do you feel like you are being recorded?”; “I’m being followed”) that seem to speak to the fraught history of Berlin in particular as well as the complicated character of urban life in general—as Pettman asks, “what does ‘together’ signify in a socioeconomic system so efficient in producing alienation and isolation?” (92).In sum, Walk That Sound is a strangely moving exploration of sonic intimacy, one that shifts between many different registers and points of focus—much like urban wandering itself. As a work, it is variously funny, smart, paranoid, intimate, expansive, difficult to decipher, and, at times, even difficult to listen to. Pettman argues that, “thanks in large part to the industrialization of the human ear […], we have lost the capacity to hear the vox mundi, which is […] the sum total of cacophonous, heterogeneous, incommensurate, and unsynthesizable sounds of the postnatural world” (8). Walk That Sound functions almost like a response to this dilemma. One comes away from listening to it with a heightened awareness of, appreciation for, and aural connection to the rich messiness of the polyphonic contemporary urban vox mundi. ConclusionThe argument of this article is that Sabrina Raaf’s Saturday and Lukatoyboy’s Walk That Sound are two projects that both incorporate walkie-talkies in order to develop mediated forms of wandering that seek to capture place-based sonic ambiances and sonic intimacies. Drawing on Pettman’s notion of “sonic intimacy”, examination of these projects has opened consideration around voice, analogue technology, and what Nick Couldry refers to as “an obligation to listen” (Couldry 580). In order to be heard, Pettman remarks, and “in order to be considered a voice at all”, and therefore as “something worth heeding”, the vox mundi “must arrive intimately, or else it is experienced as noise or static” (Pettman 83). In both the projects discussed here—Saturday and Walk That Sound—the walkie-talkie provides this means of “intimate arrival”. As half-duplex communication devices, walkie-talkies have always fulfilled a double function: communicating and listening. This dual functionality is exploited in new ways by Raaf and Lukatoyboy. In their projects, both artists turn the microphone outwards, such that the walkie-talkie becomes not just a device for communicating while in the field, but also—and more strikingly—it becomes a field recording device. The result of which is that this simple, “playful” communication device is utilised in these two projects in two ways: on the one hand, as a “carrier of potentially enlightening alterity” (Pettman 83), a means of encouraging “potential encounters” (89) with strangers who have been thrown together and who cross paths, and, on the other hand, as a means of fostering “an environmental awareness” (89) of the world around us. In developing these prompts, Raaf and Lukatoyboy build potential bridges between Pettman’s work on sonic intimacy, their own work, and the work of other experimental artists. For instance, in relation to potential encounters, there are clear points of connection with Blast Theory, a group who, as noted earlier, have utilised walkie-talkies and sound-based and other media technologies to explore issues around urban encounters with strangers that promote reflection on ideas and experiences of otherness and difference (see Wilken)—issues that are also implicit in the two works examined. In relation to environmental awareness, their work—as well as Pettman’s calls for greater sonic intimacy—brings renewed urgency to Georges Perec’s encouragement to “question the habitual” and to account for, and listen carefully to, “the common, the ordinary, the infraordinary, the background noise” (Perec “Approaches” 210).Walkie-talkies, for Raaf and Lukatoyboy, when reimagined as field recording devices as much as remote transmission technologies, thus “allow new forms of listening, which in turn afford new forms of being together” (Pettman 92), new forms of being in the world, and new forms of sonic intimacy. Both these artworks engage with, and explore, what’s at stake in a politics and ethics of listening. Pettman prompts us, as urban dweller-wanderers, to think about how we might “attend to the act of listening itself, rather than to a specific sound” (Pettman 1). His questioning, as this article has explored, is answered by the works from Raaf and Lukatoyboy in effective style and technique, setting up opportunities for aural attentiveness and experiential learning. However, it is up to us whether we are prepared to listen carefully and to open ourselves to such intimate sonic contact with others and with the environments in which we live.ReferencesAnon. “Die Welt als Labyrinth.” Internationale Situationiste 4 (Jan. 1960). International Situationist Online, 19 June 2019 <https://www.cddc.vt.edu/sionline/si/diewelt.html>Blast Theory. “Can You See Me Now?” Blast Theory, 19 June 2019 <https://www.blasttheory.co.uk/projects/can-you-see-me-now/>.———. “You Get Me.” Blast Theory, 19 June 2019 <https://wwww.blasttheory.co.uk/projects/you-get-me/>.Cory, Mark E. “Soundplay: The Polyphonous Tradition of German Radio Art.” Wireless Imagination: Sound, Radio, and the Avant-garde. Eds. Douglas Kahn and Gregory Whitehead. Cambridge, MA: MIT P, 1992. 331–371.Couldry, Nick. “Rethinking the Politics of Voice.” Continuum 23.4 (2009): 579–582.CTM Festival. “About.” CTM Festival, 2019. 19 June 2019 <https://www.ctm-festival.de/about/ctm-festival/>.———. “Projects – CTM Radio Lab.” CTM Festival, 2019. 19 June 2019 <https://www.ctm-festival.de/projects/ctm-radio-lab/>.Duclos, Rebecca. “Reconnaissance/Méconnaissance: The Work of Janet Cardiff and George Bures Miller.” Articulate Objects: Voice, Sculpture and Performance. Eds. Aura Satz and Jon Wood. Bern: Peter Lang, 2009. 221–246. Gallagher, Michael, and Jonathan Prior. “Sonic Geographies: Exploring Phonographic Methods.” Progress in Human Geography 38.2 (2014): 267–284.James, Malcom. Sonic Intimacy: The Study of Sound. London: Bloomsbury, forthcoming.Lefebvre, Henri, and Kristin Ross. “Lefebvre on the Situationists: An Interview.” October 79 (Winter 1997): 69–83. Leorke, Dale. Location-Based Gaming: Play in Public Space. Singapore: Palgrave Macmillan, 2019.Lukatoyboy. “Walk That Sound – Deutschlandradiokultur Klangkunst Broadcast 14.02.2014.” SoundCloud. 19 June 2019 <https://soundcloud.com/lukatoyboy/walk-that-sound-deutschlandradiokultur-broadcast-14022014>.“Nextel: Couple. Walkie Talkies Are Good for Something More.” AdAge. 6 June 2012. 18 July 2019 <https://adage.com/creativity/work/couple/27993>.Perec, Georges. An Attempt at Exhausting a Place in Paris. Trans. Marc Lowenthal. Cambridge, MA: Wakefield Press, 2010.———. “Approaches to What?” Species of Spaces and Other Pieces. Rev. ed. Ed. and trans. John Sturrock. Harmondsworth, Middlesex: Penguin, 1999. 209–211.Pettman, Dominic. Sonic Intimacy: Voice, Species, Technics (Or, How to Listen to the World). Stanford, CA: Stanford UP, 2017.Raaf, Sabrina. “Saturday.” Sabrina Raaf :: New Media Artist, 2002. 19 June 2019 <http://raaf.org/projects.php?pcat=2&proj=10>.Richardson, Ingrid. “Mobile Technosoma: Some Phenomenological Reflections on Itinerant Media Devices.” The Fibreculture Journal 6 (2005). <http://six.fibreculturejournal.org/fcj-032-mobile-technosoma-some-phenomenological-reflections-on-itinerant-media-devices/>. Smith, Ernie. “Roger That: A Short History of the Walkie Talkie.” Vice, 23 Sep. 2017. 19 June 2019 <https://www.vice.com/en_us/article/vb7vk4/roger-that-a-short-history-of-the-walkie-talkie>. Statuv. “Details about Allied Radio Knight-Kit C-100 Walkie Talkie CB Radio Vtg Print Ad.” Statuv, 4 Jan. 2016. 18 July 2019 <https://statuv.com/media/74802043788985511>.———. “New! 1953 ‘Space Commander’ Vibro-Matic Walkie-Talkies.” Statuv, 4 Jan. 2016. 18 July 2019 <https://statuv.com/media/74802043788985539>.Wikipedia. “Walkie-Talkie”. Wikipedia, 3 July 2019. 18 July 2019 <https://en.wikipedia.org/wiki/Walkie-talkie>.Wilken, Rowan. “Proximity and Alienation: Narratives of City, Self, and Other in the Locative Games of Blast Theory.” The Mobile Story: Narrative Practices with Locative Technologies. Ed. Jason Farman. New York: Routledge, 2014. 175–191.

On Friday 20th January, 2017, a vehicle struck a number of pedestrians in the vicinity of Bourke and Queen Streets, Melbourne. Six people died as a direct consequence of the incident and more than 30 people were taken to hospital for treatment. The incident had far-reaching consequences for the wider Melbourne community and challenged all agencies involved to develop and deliver recovery efforts unique to the incident. This paper details the perspective of the two lead agencies from the government-led recovery processes. The time period covered is from the occurrence of the incident until the one-year anniversary. This paper describes the multi-agency response particular to the Australian context and the milestones throughout the recovery process that put the victims’ voice at the centre. An outcomes- based approach informed the recovery priorities delivered. The Bourke Street tragedy tested established recovery processes and systems and in doing so led to many new and improved ways of working.

Most people in the United States began to alter their decisions and actions beginning in March 2020 due to the Covid-19 pandemic, when the closures and ‘pause’ on most work were established. Studying the transforming urban conditions in New York City specifically presents a lens through which to understand how we quickly adapted to new spatial conditions as measures were put in place for keeping people healthy and encouraging businesses to stay open and approachable. Immediately, the need for social distancing asked us to consider how to navigate exposure as we moved beyond the home. Necessities for businesses to survive became a priority for the city and coalesced with people’s desire for seeking ways to do things outdoors. A focus on using city streets as urban public spaces resulted. Policies such as Open Restaurants and Open Streets were developed by the Department of Transportation to mitigate pandemic circumstances and to stir dynamic and optimistic possibilities for street use. Open Restaurants called for food/drink establishments to quickly reimagine their adjacent pavement or available street space. Open Streets initiated new ways for creating pedestrian zones in previously trafficked areas. This article highlights fieldwork documentation comparing a Cluster and Line of food/drink establishments with a newly pedestrian Avenue, in connected Brooklyn neighbourhoods. Diagrams, photographs and maps document the ingenious street constructions and the observed and felt psychological or phenomenal transformations taking place. An urban interiorism grew out of the imposed formalisation of rules for movement patterns and compact constructions, while the ad hoc or serendipitous conditions allowed for other intimate conditions. Notions of ‘village cafés’ or ‘urban beaches’ evolved through myriad forms and materials inviting unusual seating configurations and interactions. Speculations on what these internal/external spatial experiences, changing identities and continued urban freedoms are teaching us are also explored through a multidisciplinary set of voices.

The major reason of the accidents is drowsiness caused by both sleep and alcohol. Due to driving for long time or intoxication, drivers might feel sleepy which is the biggest distraction for them while driving. This distraction might cost death of driver and other passengers in the vehicle and at the same time it also causes death of people in the other vehicles and pedestrians too. To prevent such accidents we, propose a system which alerts the driver if he/she feels drowsy. To accomplish this, we implement the solution using computer-vision based machine learning model. The driver’s face is detected by face recognition algorithm continuously using a camera and the face of the driver is captured. The face of the driver is given as input to a classification algorithm which is trained with a data set of images of drowsy and non-drowsy faces. The algorithm uses landmark detection to classify the face as drowsy or not drowsy. If the driver’s face is drowsy, a voice alert is generated by the system. This alert can make the driver aware that he/she is feeling drowsy and the necessary actions can then be taken by the driver.

Road signs are important to ensure smooth traffic flow without bottlenecks or mishaps. Road symbols are the pictorial representations having different necessary information required to be understood by driver. Road signs in front of the vehicle are ignored by the drivers and this can lead to catastrophic accidents. This paper presents an overview of the traffic sign board detection and recognition and implements a procedure to extract the road sign from a natural complex image, processes it and alerts the driver using voice command It is implemented in such a way that it acts as a boon to drivers to make easy decisions. There are several major challenges that affects the detection and recognition process of traffic signs and makes it difficult for the driver to identify the signs in adverse weather conditions and darkness, these challenges and problems are highlighted in this study. Traffic signs are detected based on various features such as color, shape, and texture etc. Based on these features numerous methods exists for detection of traffic signs. We have describe a new, real-time traffic sign detection. This challenge get more difficult to meet in a city like environment where multiple traffic signs, ads, parking vehicles, pedestrians, and other moving or background objects make the recognition much more difficult.

Background: Engaging in active transport will enable individuals across the life course to increase their habitual levels of physical activity. The aim of this study was to engage citizen scientists (CS) to identify factors that influence active transport in their community. Methods: The Our Voice citizen science methodology developed at Stanford University was employed. CS completed a “discovery walk,” taking photos of things that help or hinder active transport. Three groups were recruited: children aged 10–12 years (n = 11), adults (n = 12), and older adults >65 years (n = 10). CS rated each photo and provided a narrative explaining their reason for taking the photo. Once all CS in a specific age group had completed the walk, they met for a group discussion. The CS worked together to analyze the data, arranging them into themes and identifying priority actions. Two CS representatives from each age group presented their findings to the local council decision makers. Results: Children highlighted the need for safer crossings, especially from their school to the local park, and suggested zebra crossings as a solution. The adults highlighted that road signs prioritized vehicles, not pedestrians, and requested that this be reversed. Older adults noted that the poor condition of the pavements made it harder for people in wheelchairs to navigate. The CS recommendations have informed the council’s walking and cycling network program. Conclusion: Engaging with citizen science provided the community with an opportunity to advocate for meaningful yet realistic improvements in the built environment that could promote neighborhood active transport and physical activity across the lifespan.