Relevant bibliographies by topics / Connected Environment

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Connected Environment'

Author: Grafiati
Published: 15 March 2025

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Journal articles on the topic "Connected Environment"

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Greenwood, Deborah. "The Connected Health Environment." AADE in Practice 3, no. 3 (April 21, 2015): 12. http://dx.doi.org/10.1177/2325160315579887.

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Zhang, Wenwen, and Kai Zhang. "Automated/connected vehicles and the environment." Transportation Research Part D: Transport and Environment 102 (January 2022): 103124. http://dx.doi.org/10.1016/j.trd.2021.103124.

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Kotsopoulos, Sotirios D., Wesley Graybill, and Federico Casalegno. "Designing a Connected Sustainable Living Environment." International Journal of Architectural Computing 11, no. 2 (June 2013): 183–204. http://dx.doi.org/10.1260/1478-0771.11.2.183.

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Fletcher, Kari L., Sally Davis Comer, and Andy Dunlap. "Getting Connected: The Virtual Holding Environment." Psychoanalytic Social Work 21, no. 1-2 (January 2, 2014): 90–106. http://dx.doi.org/10.1080/15228878.2013.865246.

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Gordon, Sarah. "Information flow within the globally connected environment." Computers & Security 16, no. 6 (January 1997): 525. http://dx.doi.org/10.1016/s0167-4048(97)84697-4.

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Hasan, Rashedul, Mohammad Kabir Hassan, and Jiayuan Tian. "DO POLITICALLY CONNECTED BANKS PERFORM BETTER IN A DEMOCRATIC ENVIRONMENT?" Journal of Central Banking Law and Institutions 3, no. 2 (May 4, 2024): 239–60. http://dx.doi.org/10.21098/jcli.v3i2.173.

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This paper elucidates the intricate relationship among bank performance, political connections, and the democratic environment. The existing body of evidence is notably limited in illustrating the impact of a democratic environment on bank performance. Our study examines a sample of 397 banks spanning 14 countries and districts, encompassing both politically affiliated and non-politically affiliated banks in both democratic and non-democratic settings. The empirical findings reveal a reduction in non-performing loans but an escalation in loan loss provision within a democratic environment. This phenomenon may be attributed to the diminished level of financial constraints prevalent in democratic settings. Furthermore, our investigation revealsthat political connections exert a deleterious effect on the non-performing loans (NPL) ratio, coupled with a salutary impact on loan loss provision. Conclusively, our research identifies that the stock return of politically connected banks in democratic environments is inferior to their counterparts in non-democratic environments. Additionally, the non-performing loans ratio (NPL) of politically connected banks in democratic environments tends to be higher compared to their non-democratic counterparts. Conversely, the loan loss provision of politically connected banks in democratic environments tends to be lower than that in non-democratic environments. This nuanced analysis contributes to a more comprehensive understanding of the interplay between democratic environments, political connections, and bank performance.
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Martin, Elizabeth, Ian Cleland, Chris Nugent, Claire Orr, Tanya McCance, Assumpta Ryan, and Jim McLaughlin. "Connected Health Living Lab." Proceedings 31, no. 1 (November 20, 2019): 11. http://dx.doi.org/10.3390/proceedings2019031011.

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The school of computing, in collaboration with the institute of nursing and health research and the school of engineering, recently established the connected health living lab (CH:LL) at Ulster University. CH:LL offers a dedicated environment to support user and clinical engagement, access to state-of-the-art technology to assess usability and interaction with innovative technologies, in addition to being a dedicated environment to record user behaviours with new connected health solutions. The creation of such a dedicated environment offers a range of benefits to support multi-disciplinary research in the area of connected health. This paper illustrates the design, development, and implementation of CH:LL, including a description of the various technologies associated with the living lab at Ulster University. To conclude, the paper highlights how these resources have been used to date within various research projects.
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Belahcen, Anas, Mounia Abik, and Rachida Ajhoun. "Decision Making in the Connected Learning Environment (CLE)." EAI Endorsed Transactions on e-Learning 3, no. 9 (March 10, 2016): 151118. http://dx.doi.org/10.4108/eai.28-10-2015.151118.

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Ren, Chuanxiang, Wenbo Zhang, Lingqiao Qin, and Bo Sun. "Queue Spillover Management in a Connected Vehicle Environment." Future Internet 10, no. 8 (August 10, 2018): 79. http://dx.doi.org/10.3390/fi10080079.

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To alleviate the queue spillovers at intersections of urban roads during rush hours, a solution to the cross-spill problem based on vehicle networking technologies is proposed. This involves using connected vehicle technology, to realize the interactive information on vehicle and intersection signal control. The maximum control distance between intersections is determined by how vehicles are controlled and would travel in that connected environment. A method of calculating overflow tendency towards intersection queuing is also proposed, based on the maximum phase control distance. By this method, the intersection overflow is identified, and then the signal phases are re-optimized according to the requirements of different phases. Finally, overflow prevention control was also performed in this study. The VISSIM simulation results show that the method can better prevent the overflow of queues at intersections.
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Talebpour, Alireza, Hani S. Mahmassani, Fiorella Mete, and Samer H. Hamdar. "Near-Crash Identification in a Connected Vehicle Environment." Transportation Research Record: Journal of the Transportation Research Board 2424, no. 1 (January 2014): 20–28. http://dx.doi.org/10.3141/2424-03.

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Dissertations / Theses on the topic "Connected Environment"

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Feng, Yiheng. "Intelligent Traffic Control in a Connected Vehicle Environment." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/578411.

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Signal control systems have experienced tremendous development both in hardware and in control strategies in the past 50 years since the advent of the first electronic traffic signal control device. The state-of-art real-time signal control strategies rely heavily on infrastructure-based sensors, including in-pavement or video based loop detectors for data collection. With the emergence of connected vehicle technology, mobility applications utilizing vehicle to infrastructure (V2I) communications enable the intersection to acquire a much more complete picture of the nearby vehicle states. Based on this new source of data, traffic controllers should be able to make "smarter" decisions. This dissertation investigates the traffic signal control strategies in a connected vehicle environment considering mobility as well as safety. A system architecture for connected vehicle based signal control applications under both a simulation environment and in the real world has been developed. The proposed architecture can be applied to applications such as adaptive signal control, signal priority including transit signal priority (TSP), freight signal priority (FSP), emergency vehicle preemption, and integration of adaptive signal control and signal priority. Within the framework, the trajectory awareness of connected vehicles component processes and stores the connected vehicle data from Basic Safety Message (BSM). A lane level intersection map that represents the geometric structure was developed. Combined with the map and vehicle information from BSMs, the connected vehicles can be located on the map. Some important questions specific to connected vehicle are addressed in this component. A geo-fencing area makes sure the roadside equipment (RSE) receives the BSM from only vehicles on the roadway and within the Dedicated Short-range Communications (DSRC) range. A mechanism to maintain anonymity of vehicle trajectories to ensure privacy is also developed. Vehicle data from the trajectory awareness of connected vehicles component can be used as the input to a real-time phase allocation algorithm that considers the mobility aspect of the intersection operations. The phase allocation algorithm applies a two-level optimization scheme based on the dual ring controller in which phase sequence and duration are optimized simultaneously. Two objective functions are considered: minimization of total vehicle delay and minimization of queue length. Due to the low penetration rate of the connected vehicles, an algorithm that estimates the states of unequipped vehicles based on connected vehicle data is developed to construct a complete arrival table for the phase allocation algorithm. A real-world intersection is modeled in VISSIM to validate the algorithms. Dangerous driving behaviors may occur if a vehicle is trapped in the dilemma zone which represents one safety aspect of signalized intersection operation. An analytical model for estimating the number of vehicles in dilemma zone (NVDZ) is developed on the basis of signal timing, arterial geometry, traffic demand, and driving characteristics. The analytical model of NVDZ calculation is integrated into the signal optimization to perform dilemma zone protection. Delay and NVDZ are formulated as a multi-objective optimization problem addressing efficiency and safety together. Examples show that delay and NVDZ are competing objectives and cannot be optimized simultaneously. An economic model is applied to find the minimum combined cost of the two objectives using a monetized objective function. In the connected vehicle environment, the NVDZ can be calculated from connected vehicle data and dilemma zone protection is integrated into the phase allocation algorithm. Due to the complex nature of traffic control systems, it is desirable to utilize traffic simulation in order to test and evaluate the effectiveness and safety of new models before implementing them in the field. Therefore, developing such a simulation platform is very important. This dissertation proposes a simulation environment that can be applied to different connected vehicle related signal control applications in VISSIM. Both hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulation are used. The simulation environment tries to mimic the real world complexity and follows the Society of Automotive Engineers (SAE) J2735 standard DSRC messaging so that models and algorithms tested in the simulation can be directly applied in the field with minimal modification. Comprehensive testing and evaluation of the proposed models are conducted in two simulation networks and one field intersection. Traffic signal priority is an operational strategy to apply special signal timings to reduce the delay of certain types of vehicles. The common way of serving signal priority is based on the "first come first serve" rule which may not be optimal in terms of total priority delay. A priority system that can serve multiple requests with different priority levels should perform better than the current method. Traditionally, coordination is treated in a different framework from signal priority. However, the objectives of coordination and signal priority are similar. In this dissertation, adaptive signal control, signal priority and coordination are integrated into a unified framework. The signal priority algorithm generates a feasible set of optimal signal schedules that minimize the priority delay. The phase allocation algorithm considers the set as additional constraints and tries to minimize the total regular vehicle delay within the set. Different test scenarios including coordination request, priority vehicle request and combination of coordination and priority requests are developed and tested.
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Tatakis, Thomas Jr. "NAMER : a distributed name server for a connected UNIX environment /." Online version of thesis, 1988. http://hdl.handle.net/1850/10448.

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Dabboussi, Abdallah. "Dependability approaches for mobile environment : Application on connected autonomous vehicles." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA029.

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Les véhicules autonomes et connectés (VAC) doivent avoir une exigence de fiabilité et de sécurité adéquate dans un environnement incertain aux circonstances complexes. La technologie des capteurs, les actionneurs et l'intelligence artificielle (IA) améliorent constamment leurs performances, ce qui permet un développement continu des véhicules autonomes et une automatisation accrue de la tâche de conduite. Les VAC présentent de nombreux avantages dans la vie humaine, tels que l’augmentation de la sécurité routière, la réduction de la pollution et la fourniture d’une mobilité autonome aux non-conducteurs. Cependant, ces composants avancés créent un nouvel ensemble de défis en matière de sécurité et de fiabilité. Il est donc nécessaire d’évaluer ces technologies avant leur mise en œuvre.Nous étudions dans cette thèse la fiabilité du VAC dans son ensemble, en nous concentrant sur les capteurs et le système de communication. Pour cela, une analyse fonctionnelle a été réalisée pour le système VAC. Notre approche scientifique pour l'analyse de la fiabilité du VAC a été structurée avec des méthodes combinant des approches quantitatives et qualitatives (telles que l'analyse fonctionnelle interne et externe, l'analyse préliminaire des risques (APR) et l'analyse des modes de défaillance, de leurs effets et de leur criticité (AMDEC), etc. Afin de prouver nos résultats, une simulation a été réalisée à l'aide de la probabilité d'analyse d'arbre de défaillance (ADD) et elle a été réalisée pour valider l'approche proposée. Les données (taux d'échec) utilisées proviennent d'une base de données professionnelle concernant le type de composants présentés dans le système. À partir de ces données, un modèle probabiliste de dégradation a été proposé. Le calcul de probabilité a été effectué par rapport à un moment d'utilisation de référence. Par la suite, une analyse de sensibilité a été suggérée concernant les paramètres de fiabilité et des propositions de restructuration ont été élaborées pour les composants.CAV fournit des services de communication entre véhicules : véhicules à véhicules (V2V) ou avec infrastructures côté rue : véhicules à infrastructures (V2I). La technologie des “Communications dédiées à courte portée” (DSRC = Dedicated Short Range Communications) utilise plusieurs canaux pour fournir une variété d'applications de sécurité. Les applications de sécurité nécessitent des transmissions appropriées et fiables, tandis que les applications non liées à la sécurité exigent des performances et une vitesse élevée. Aujourd’hui, la diffusion de messages de sécurité de base (Basic safety message, BSM) est l’un des services fondamentaux des véhicules connectés. Pour cela, un modèle analytique destiné à évaluer la fiabilité des services de diffusion V2V relatifs à la sécurité basée sur IEEE 802.11 dans le système DSRC sur autoroute a été proposé. Enfin, une amélioration du modèle proposé a été faite afin d'accroître la fiabilité de la connexion V2V, en tenant compte de nombreux facteurs tels que la portée de transmission, la densité du véhicule, la distance de sécurité sur l'autoroute, le taux d'erreur de paquets, l'influence de bruit et les taux de défaillants pour les équipements de communications.L'évaluation de ces problèmes conduit à une analyse de sensibilité liée aux paramètres de fiabilité, ce qui contribue à davantage d'innovation dans les domaines de l'ingénierie automobile
Connected and Autonomous vehicles (CAV) must have adequate reliability and safety requirements in uncertain environments with complex circumstances. Sensor technology, actuators and artificial intelligence (AI) are constantly and rapidly evolving, thus enabling further development of self-driving vehicles, and increasing the automation of driving. CAV shows many benefits in human life such as increasing road safety, reducing pollution, and providing independent mobility to non-drivers. However, these advanced components create a new set of challenges concerning safety and dependability. Hence, it is necessary to evaluate these technologies before implementation.We study in this thesis the reliability of CAV as a whole, focusing on sensors and the communication system. For that purpose, a functional analysis was done for the CAV system.Our scientific approach for the analyzing the CAV reliability, was structured with methods that combine quantitative and qualitative approaches such as functional analysis for both internal and external, Preliminary Risk Analysis (PRA), and failure modes and effects criticality analysis (FMECA), in addition to other analysis techniques.To prove our results, a simulation was done using the Fault Tree analysis (FTA) probability in order to validate the proposed approach. The data (Failure ratio) used were from a professional database related to the type of components presented in the system. Using this data, a probabilistic model of degradation was proposed. A probability calculation was performed in relation to a reference time of use. Thereafter a sensitivity analysis was suggested concerning the reliability parameters and redesign proposals developed for the components.CAV provide several communication models: vehicles to vehicle (V2V), or with Road Side Infrastructure: vehicle to infrastructure (V2I). Dedicated Short Range Communication (DSRC) employs a multichannel approach to cater for a variety of safety and non-safety applications. Safety applications necessitate appropriate and reliable transmissions, while non-safety applications require performance and high speed. Broadcasting of Basic Safety Messages (BSM) is one of the fundamental services in today’s connected vehicles. For that, an analytical model to evaluate the reliability of IEEE 802.11 based V2V safety-related broadcast services in DSRC system on highway was proposed. Finally, an enhancement on the proposed model was made in order to increase the reliability of the V2V connection, taking into consideration many factors such as transmission range, vehicle density, and safety headway distance on highway, packet error rate, noise influence, and failures rates of communication equipment.Evaluating these problems leads to a sensitivity analysis related to reliability parameters, which helps further innovation in CAV and automobile engineering
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Annam, Raja Bharat. "Synthetic Innovation to Complex Intersection Control: Intelligent Roundabout in Connected Vehicle Environment." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169949508287.

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Khoshmagham, Shayan, and Shayan Khoshmagham. "Real Time Performance Observation and Measurement in a Connected Vehicle Environment." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621582.

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Performance monitoring systems have experienced remarkable development in the past few decades. In today's world, an important issue for almost every industry is to find a way to appropriately evaluate the performance of the provided service. Having a reliable performance monitoring system is necessary, and researchers have developed assessment models and tools to deal with this concern. There are many approaches to the development of performance measurement and observation systems. The internet-of-things (IoT) creates a broad range of opportunities to monitor the systems by using the information from connected people and devices. The IoT is providing many new sources of data that need to be managed. One of the key issues that arises in any data management system is confidentiality and privacy.Significant progress has been made in development and deployment of performance monitoring systems in the signalized traffic environment. The current monitoring and data collection system relies mostly on infrastructure-based sensors, e.g. loop detectors, video surveillance, cell phone data, vehicle signatures, or radar. High installation and maintenance costs and a high rate of failure are the two major drawbacks of the existing system. Emerging technologies, i.e. connected vehicles (CV), will provide a new, high fidelity approach to be used for better performance monitoring and traffic control.This dissertation investigates the real-time performance observation system in a multi-modal connected vehicle environment. A trajectory awareness component receive and processes the connected vehicle data using the Basic Safety Message (BSM). A geo-fence section makes sure the infrastructure system (for example, roadside unit (RSU)) receives the BSM from only the connected vehicles on the roadway and within the communication range. The processed data can be used as an input to a real-time performance observer component.Three major classes of performance metrics, including mobility, signal, and CV-system measures, are investigated. Multi-modal dashboards that utilize radar diagrams are introduced to visualize large data sets in an easy to understand way. A mechanism to maintain the anonymity of vehicle information to ensure privacy was also developed. The proposed algorithm uses partial vehicle trajectories to estimate travel time average and variability on a link basis. It is shown that the model is not very sensitive to the market penetration rate of connected vehicles. This is a desirable feature especially because of the fact that the market penetration rate of connected vehicles will not be very high in near future. The system architecture for connected vehicle based performance observation applications was developed to be applicable for both a simulation environment and a real world traffic system. Both hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulation environments are developed and calibrated to mimic the real world. Comprehensive testing and assessment of the proposed models and algorithms are conducted in simulation as well as field test networks. A web application is also developed as part of a central system component to generate reports and visualizations of the data collection experiments.
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Liu, Yan. "Highway Capacity and Traffic Behavior under Connected and Automated Traffic Environment." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627667986751621.

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Lause, Federico Valentin III. "Adapting Crash Modification Factors for the Connected and Autonomous Vehicle Environment." UKnowledge, 2019. https://uknowledge.uky.edu/ce_etds/90.

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The Crash Modification Factor (CMF) clearinghouse can be used to estimate benefits for specific highway safety countermeasures. It assists safety professionals in the allocation of investments. The clearinghouse contains over 7000 entries of which only 446 are categorized as intelligent transportation systems or advanced technology, but none directly address connected or autonomous vehicles (CAVs). Further, the effectiveness of highway safety countermeasures is assumed to remain constant over time, an assumption that is particularly problematic as new technologies are introduced. For example, for the existing fleet of human-driven vehicles, installation of rumble strip can potentially reduce “run-off-road” crashes by 40%. If specific CAV technologies, e.g., lane-tracking, can work without rumble strips, and say, half of all cars are so equipped, only half of the fleet will benefit, reducing the benefits of rumble strips by a commensurate amount. Benefits of the two improvements, e.g., rumble strips and automated vehicles, should not be double-counted. As there will still be human-driven and/or non-connected vehicles in the fleet, conventional countermeasures are still necessary, although returns on conventional safety investments may be significantly overestimated. This is important as safety investments should be optimized and geared to future, not past fleets. Moreover, as CMFs are based on historical events, the types of crashes experienced by human-driven, un-connected cars are likely to be much different in the future. This research presents methods to estimate the safety benefits that autonomous vehicles have to offer and the changes needed in CMFs as a result of their adoption. This will primarily be achieved by modifying and enhancing a tool co-developed by the Fellow that estimates the safety benefits of different levels of autonomy. This tool, ddSAFCAT, estimates CAV safety benefits using real-world data for crashes, market penetration, and effectiveness.
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Harper, Corey David. "Transitioning to a Connected and Automated Vehicle Environment: Opportunities for Improving Transportation." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1007.

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Over the past few years automotive and technology companies have made significant advances in what has been traditionally a completely human function: driving. Crash avoidance features such as lane departure warning and forward collision warning are becoming increasingly more common and cheaper to obtain, even on non-luxury vehicles. Technology companies and auto manufacturers have announced plans to have self-driving vehicles ready for public use as early as 2020. The mass adoption of automated vehicles (AVs) could significantly change surface transportation as we know it today. This thesis is intended to provide a technical analysis of the potential impacts of AVs on current light-duty vehicle miles traveled (VMT) and parking decisions, the economic desirability of widespread deployment of partially automated technologies, and methods for existing roadways to transition to connected and automated vehicle (CAV) transportation, so that policymakers can make more informed decisions during the transition to CAVs. This work takes a look at AVs from a point in time where vehicles are equipped with driver assistance systems (Level 1) to a point in time where AVs are driverless (Level 5) and can self-park. The results of this work indicate that the fleet-wide adoption of partially automated crash avoidance technologies could provide net-benefit of about $4 billion at current system effectiveness and could provide an annual net-benefit up to $202 billion if all relevant crashes could be prevented. About 25% of all crashes could be addressed by the crash avoidance technologies examined in this dissertation. Over time, as technologies become more effective and cheaper due to economies of scale, greater benefits than the $4 billion could be realized. As automated technologies become more advanced and widespread, existing roadways will need to be able to accommodate these vehicles. This work investigates the effects of a dedicated truck platoon lane on congestion on the Pennsylvania Turnpike and provides a method for existing roadways and highways to determine viable platoon demonstration sites. The initial results suggest that there are several sections of turnpike that could serve as commercial truck platoon demonstration site while still providing a high LOS to all other vehicles. Once AVs can safely and legally drive unoccupied, vehicles will no longer be limited to their driver’s destination and can search for cheaper parking in more distant parking locations. This work simulates a fleet of privately owned vehicles (POVs) in search of cheaper parking in Seattle, using a rectangular grid throughout the study area. Model results indicate that we are not likely to see significant increase in vehicle miles traveled (VMT) and energy use from cars moving from downtown parking lots to cheaper parking in distance locations but at higher penetration rates, parking lot revenues could likely decline to the point where operating a lot is unsustainable economically, if no parking demand management policies are implemented. Driverless vehicles also promise to increase mobility for those in underserved populations. This work estimates bounds on the potential increases in travel in a fully automated vehicle environment due to an increase in mobility from the non-driving and senior populations and people with travel-restrictive medical conditions. Three demand wedges were established in order to conduct a first-order bounding analysis. The combination of the results from all three demand wedges represents an upper bound of 295 billion miles or a 14% increase in annual light-duty VMT for the US population 19 and older. AV technology holds much promise in providing a more accessible and safe transportation system. This thesis can help policymakers and stakeholders maximize the benefits and minimize the challenges.
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Khosravi, Sara, and Sara Khosravi. "Location-Based System to Improve Pedestrian Safety in a Connected Vehicle Technology Environment." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626306.

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People with vision impairment have various challenges in wayfinding, navigation, and crossing signalized intersections. They often face physical and information barriers that impede their mobility and undermine their safety along a trip. Visually impaired people usually use a white cane as their primary aid when crossing urban traffic intersections. In order to improve their mobility, safety and accessibility, it is important to provide an assistive system to help them in intersection navigation and to provide information regarding the surrounding environment. While assistive systems have been developed to help visually impaired pedestrians to navigate and find their way, using these systems may be inconvenient. Furthermore, none of the currently available systems provide communication between the users and traffic signal controller that can help them request pedestrian crossing signal timing. Emerging connected vehicle technologies can provide a solution to assist visually impaired people and address their challenges. Conflicts between vehicles and vulnerable road users (VRUs) often result in injuries and fatalities. A situational awareness system could be based on wireless communications between vehicles and VRUs for the exchange of situational awareness information. Compared to the radar-based and vision-based systems, the wireless-based system. can improve VRUs’ safety, especially in non-line-of-sight (NLOS) situations. In particular, it can be very helpful when drivers are making a right or left turn where there is a pedestrian in a crosswalk and visibility conditions are poor. The Smart Walk Assistant (SWA) system was designed, developed, and tested during the research of this dissertation. It includes two wireless communication pathways; pedestrian-to-infrastructure (P2I) and pedestrian-to-vehicle (P2V). The first communication pathway enables users to send a pedestrian signal request to the traffic signal controller and receive traffic signal status. The second communication pathway enables pedestrians and vehicles to exchange information, including location, speed, and heading, that can be used to detect possible conflict between pedestrian and vehicles and provide conflict alerts. The SWA system may be especially beneficial to pedestrians with disability (e.g., blind or visually impaired pedestrians) who would benefit from active support to safely cross streets at signalized intersections. Developing a reliable situational awareness system for pedestrians is much more challenging than for vehicles because a vehicle’s movement is more predictable and usually remains in the lane in the road. In order to provide better location-based services for pedestrians, a position accuracy is needed of, at most, the width of a crosswalk or sidewalk. The SWA system includes a method to estimate a pedestrian’s position. The algorithm is based on integrating Map-Matching and an Extended Kalman Filter (EKF) in a connected vehicle environment to provide precise location information. The system architecture for the SWA application was developed to be applicable for both a simulation environment and a real world traffic system. Hardware-in-the-loop (HIL) simulation environment is developed and calibrated to mimic the real world. Comprehensive testing and assessment of the system and algorithms are conducted in simulation as well as field test networks.
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Beak, Byungho, and Byungho Beak. "Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626304.

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Traffic signal control systems have been tremendously improved since the first colored traffic signal light was installed in London in December 1868. There are many different types of traffic signal control systems that can be categorized into three major control types: fixed-time, actuated, and adaptive. Choosing a proper traffic signal system is very important since there exists no perfect signal control strategy that fits every traffic network. One example is traffic signal coordination, which is the most widely used traffic signal control system. It is believed that performance measures, such as travel times, vehicle delay, and number of stops, can be enhanced by synchronizing traffic signals over a corridor. However, it is not always true that the coordination will have the same benefits for all the traffic in the network. Most of the research on coordination has focused only on strengthening the major movement along the coordinated routes without considering system-wide impacts on other traffic. Therefore, before implementing a signal control system to a specific traffic network, a thorough investigation should be conducted to see how the control strategy may impact the entire network in terms of the objectives of each type of traffic control system. This dissertation first considers two different kinds of systematic performance analyses for traffic signal control systems. Then, it presents two types of signal control strategies that account for current issues in coordination and priority control systems, respectively. First, quantitative analysis of smooth progression for traffic flow is investigated using connected vehicle technology. Many studies have been conducted to measure the quality of progression, but none has directly considered smooth progression as the significant factor of coordination, despite the fact that the definition of coordination states that the goal is to have smooth traffic flow. None of the existing studies concentrated on measuring a continuous smooth driving pattern for each vehicle in terms of speed. In order to quantify the smoothness, this dissertation conducts an analysis of the speed variation of vehicles traveling along a corridor. A new measure is introduced and evaluated for different kinds of traffic control systems. The measure can be used to evaluate how smoothly vehicles flow along a corridor based on the frequency content of vehicle speed. To better understand the impact of vehicle mode, a multi-modal analysis is conducted using the new measure. Second, a multi-modal system-wide evaluation of traffic signal systems is conducted. This analysis is performed for traffic signal coordination, which is compared with fully actuated control in terms of a systematic assessment. Many optimization models for coordination focus mainly on the objective of the coordinated route and do not account for the impacts on side street movements or other system-wide impacts. In addition, multi-modality is not considered in most optimized coordination plans. Thus, a systematic investigation of traffic signal coordination is conducted to analyze the benefits and impacts on the entire system. The vehicle time spent in the system is measured as the basis of the analysis. The first analysis evaluates the effect of coordination on each route based on a single vehicle mode (regular passenger vehicles). The second analysis reveals that how multi-modality affects the performance of the entire system. Third, in order to address traffic demand fluctuation and traffic pattern changes during coordination periods, this dissertation presents an adaptive optimization algorithm that integrates coordination with adaptive signal control using data from connected vehicles. Through the algorithm, the coordination plan can be updated to accommodate the traffic demand variation and remain optimal over the coordination period. The optimization framework consists of two levels: intersection and corridor. The intersection level handles phase allocation in real time based on connected vehicle trajectory data, while the corridor level deals with the offsets optimization. The corridor level optimization focuses on the performance of the vehicle movement along the coordinated phase, while at the intersection level, all movements are considered to create the optimal signal plan. The two levels of optimizations apply different objective functions and modeling methodologies. The objective function at the intersection level is to minimize individual vehicle delay for both coordinated and non-coordinated phases using dynamic programming (DP). At the corridor level, a mixed integer linear programming (MILP) is formulated to minimize platoon delay for the coordinated phase. Lastly, a peer priority control strategy, which is a methodology that enhances the multi modal intelligent traffic signal system (MMITSS) priority control model, is presented based on peer-to-peer (P2P) and dedicated short range communication (DSRC) in a connected vehicle environment. The peer priority control strategy makes it possible for a signal controller to have a flexible long-term plan for prioritized vehicles. They can benefit from the long-term plan within a secured flexible region and it can prevent the near-term priority actions from having a negative impact on other traffic by providing more flexibility for phase actuation. The strategy can be applied to all different modes of vehicles such as transit, freight, and emergency vehicles. Consideration for far side bus stops is included for transit vehicles. The research that is presented in this dissertation is constructed based on Standard DSRC messages from connected vehicles such as Basic Safety Messages (BSMs), Signal Phasing and Timing Messages (SPaTs), Signal Request Messages (SRMs), and MAP Messages, defined by Society of Automotive Engineers (SAE) (SAE International 2016).
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Books on the topic "Connected Environment"

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editor, Narumol Aphinives, ed. Living landscapes connected communities: Culture, environment, and change across Asia. Penang, Malaysia: Areca Books, 2014.

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Adair, Bill. The emotionally connected classroom: Wellness and the learning experience. Thousand Oaks, Califorinia: Corwin, A SAGE Company, 2019.

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Mahmood, Zaigham, ed. Connected Environments for the Internet of Things. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70102-8.

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Sahasranaman, P. B. The Law Relating to Protection of Coastal areas in India: Coastal Regulation Zone Notification (as amended) with Environment Protection Act and Rules, and Supreme Court judgment and other matters connected therewith. 6th ed. Kochi: Swamy Law Publishers, 2008.

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Brandon, Black, and Huxley College of Environmental Studies., eds. Northern Trucking Connector: Environmental impact assessment. Bellingham, Wash: Huxley College of Environmental Studies, Western Washington University, 1994.

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Smith, Peter A. C. Dynamic leadership models for global business: Enhancing digitally connected environments. Hershey, PA: Business Science Reference, 2013.

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Broekhoff, Derik. The greenhouse gas protocol: Guidelines for quantifying GHG reductions from grid-connected electricity projects. Washington, DC: World Resources Institute, 2007.

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Hurson, Ali R. Connected Computing Environment. Elsevier Science & Technology Books, 2012.

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Connected Computing Environment. Elsevier, 2013. http://dx.doi.org/10.1016/c2012-0-03219-x.

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Hurson, Ali R. Connected Computing Environment. Elsevier Science & Technology, 2013.

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Book chapters on the topic "Connected Environment"

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Rauch, Andreas. "GF Machining Solutions: Real-Time Manufacturing Process in a Cloud Environment." In Connected Business, 283–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76897-3_16.

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Shahid, Saim, Shiv Prakash, and Mukesh Prasad. "Security in Connected Drones Environment." In Secure and Digitalized Future Mobility, 133–54. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b22998-8.

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Parkes, Stephen, and Ed Ferrari. "The Challenges Posed by Cavs for the Built Environment." In Connected and Autonomous Vehicles, 37–51. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003348832-3.

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Woods, Kelsey, Michael D. Slater, Jonathan Cohen, Benjamin K. Johnson, and David R. Ewoldsen. "The Experience of Narrative in the Permanently Online, Permanently Connected Environment." In Permanently Online, Permanently Connected, 116–28. New York and London : Routledge, Taylor & Francis Group, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315276472-12.

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Liu, Luke. "Support for Connected Vehicle Testing in Urban Environment." In Advances in Intelligent Systems and Computing, 15–16. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38789-5_7.

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Deffo Sikounmo, Cedric, Eric Benoit, and Stephane Perrin. "Modeling Situations in an Intelligent Connected Furniture Environment." In Modeling and Using Context, 381–94. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57837-8_32.

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Karmakar, Sayon, and Seshadri Mohan. "Machine Learning-Based Imaging in Connected Vehicles Environment." In Lecture Notes in Electrical Engineering, 186–94. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3880-0_20.

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Xu, Peng, Kai Jiang, Xi Lu, Junru Han, Chen Ma, and Xinran Xu. "Study on the Speed Limit of Vehicle Stability Under Rainy Environment." In Green, Smart and Connected Transportation Systems, 325–42. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0644-4_25.

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Xiong, Jian, Yan-li Bao, Zhou-jin Pan, and Yi-fan Dai. "Vehicle Risk Analysis and En-route Speed Warning Research Based on Traffic Environment." In Green, Smart and Connected Transportation Systems, 1089–108. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0644-4_84.

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Adly, Aya Sedky. "Integrating Vehicular Technologies Within the IoT Environment: A Case of Egypt." In Connected Vehicles in the Internet of Things, 85–100. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36167-9_4.

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Conference papers on the topic "Connected Environment"

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Wehby, Ayoub, Sherali Zeadally, Rida Khatoun, Mohammed Lamine Bouchouia, and Ahmad Fadlallah. "How Does Distributed Denial of Service Affect the Connected Cars Environment?" In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), 164–70. IEEE, 2024. http://dx.doi.org/10.1109/codit62066.2024.10708325.

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Zainuddin, Hedzlin, Sulaiman Shaari, Ahmad Maliki Omar, and Shahril Irwan Sulaiman. "Power prediction for grid-connected photovoltaic system in Malaysia." In Environment (ISESEE). IEEE, 2011. http://dx.doi.org/10.1109/isesee.2011.5977079.

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Hussin, M. Z., A. Yaacob, Z. M. Zain, S. Shaari, and A. M. Omar. "Status of a grid-connected MBIPV project in Malaysia." In Environment (ISESEE). IEEE, 2011. http://dx.doi.org/10.1109/isesee.2011.5977099.

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Andersen, Carl K. "Connected Vehicle Environment: Opportunities & Challenges." In 2016 International Technical Meeting of The Institute of Navigation. Institute of Navigation, 2016. http://dx.doi.org/10.33012/2016.13496.

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Yougui Guo, Ping Zeng, Jieqiong Zhu, Lijuan Li, Wenlang Deng, and Frede Blaabjerg. "Common voltage eliminating of SVM diode clamping three-level inverter connected to grid." In Environment (ICMREE). IEEE, 2011. http://dx.doi.org/10.1109/icmree.2011.5930741.

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Yang, Hao, and Ken Oguchi. "Integrated Traffic Management System under Connected Environment." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917145.

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Feng, Yongwei, Jia Hu, Cheng Zhou, Juncheng Zeng, Tangzhi Liu, and Haoran Wang. "Traffic Speed Harmonization Under Partially Connected Environment." In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2023. http://dx.doi.org/10.1109/itsc57777.2023.10422351.

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Rahman, Rafiza Abdul, Shahril Irwan Sulaiman, Ahmad Maliki Omar, Zainazlan Md Zain, and Sulaiman Shaari. "Performance analysis of 45.36 kWp grid-connected photovoltaic systems at Malaysia Green Technology Corporation." In Environment (ISESEE). IEEE, 2011. http://dx.doi.org/10.1109/isesee.2011.5977098.

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Wang, Zhen-yue, Bao-chang Zhao, Xin-chun Shi, and Yan-wei Zhu. "A new method of detecting PV Grid-connected Inverter Islanding based on the frequency variation." In Environment (ICMREE). IEEE, 2011. http://dx.doi.org/10.1109/icmree.2011.5930761.

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Du, Shuming, Saiedeh Razavi, and Wade Genders. "Optimal Variable Speed Limit Control under Connected Work Zone and Connected Vehicle Environment." In 34th International Symposium on Automation and Robotics in Construction. Tribun EU, s.r.o., Brno, 2017. http://dx.doi.org/10.22260/isarc2017/0138.

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Reports on the topic "Connected Environment"

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Balali, Vahid. Connected Simulation for Work Zone Safety Application. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2021.2137.

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Every year, over 60,000 work zone crashes are reported in the United States (FHWA 2016). Such work zone crashes have resulted in over 4,400 fatal and 200,000 non-fatal injuries in the last 5 years (FHWA 2016, BLS 2014). Apart from the physical and emotional trauma, the annual cost of these injuries exceeds $4 million-representing significant wasted resources. To improve work zone safety, this research developed a system architecture for unveiling high-risk behavioral patterns among highway workers, equipment operators, and drivers within dynamic highway work zones. This research implemented the use of a connected virtual environment, which is an immersive hyper-realistic and virtual environment where multiple agents (e.g. workers, drivers, and equipment handlers) control independent simulators but experience an interactive and shared experience. For this project, the team conducted an in-depth analysis of accident investigation, simulated accident scenarios, and tested diverse interventions to prevent high-risk behavior. Overall, the research improved understanding of behavioral patterns that lead to injuries and fatalities of highway workers in order to better protect them in high-risk work environments. As part of making transportation smarter, this project contributes to smart behavioral safety analysis.
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Yang, Xianfeng Terry. Vehicle Sensor Data (VSD) Based Traffic Control in Connected Automated Vehicle (CAV) Environment. Transportation Research and Education Center (TREC), 2018. http://dx.doi.org/10.15760/trec.212.

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Wright, Alex, and C. Browne. Connected and Autonomous Plant - a Roadmap to 2035. TRL, June 2020. http://dx.doi.org/10.58446/ykjk4899.

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(CAP) are transforming activities across the UK construction sector. CAP offers potential in a wide range of applications, for example: remote collection of data for design; geofencing of plant operation; semi-autonomous extraction and movement of materials; offsite and robotic construction. However, this transformation presents a challenge to the sector. The introduction of CAP technology lacks a unified approach. Practice differs across construction sites and between clients. As a result, CAP deployment varies significantly across sites and information flow between organisations is slow. The industry is developing a strong understanding of the potential presented by CAP, with exciting examples of new technology being applied in practice. However, the community is concerned over the pace and practicality of implementing new methods, in context of the current approach to commissioning and delivering construction projects. Because there is no clear direction to encourage the use of CAP, the industry must bear all the risks of investing in new systems. These investments are made in an environment where there’s a lack of certainty about the capability of the technology, and a lack of clarity about the risks, liabilities and acceptability of its use. What does the Roadmap describe? The Roadmap has been developed collaboratively with over 75 organisations. Questionnaires and workshops identified the actions required to overcome technical, business and legislative challenges affecting successful delivery of the vision. The Roadmap brings these together in nine workstreams, each focusing on key areas identified by stakeholders. These workstreams would be delivered in parallel through industry-wide collaboration.
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Webster, Julie, Emma Smith, Annette Stumpf, and Megan Fuhler. Autonomous vehicle testing : a survey of commercial test sites and features. Engineer Research and Development Center (U.S.), March 2024. http://dx.doi.org/10.21079/11681/48334.

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Connected and autonomous technologies are valuable to the Army because of their recognized potential to reduce the number of personnel exposed to threats in forward operations. The successful integration of such technologies has the potential to reduce Soldier deaths and injuries. Automation of routine tasks can also allow warfighters to focus their time on more strategic efforts. Furthermore, a reduction in manpower is expected to proportionally reduce energy use and material supply and resupply demands while bolstering resilience. To achieve these benefits, the reliability, safety, and utility of connected and autonomous systems must be successfully demonstrated in a variety of conditions before widespread adoption. Therefore, the Army needs a realistic testing environment to develop, test, and evaluate emerging technologies. This environment and its supporting infrastructure should provide a variety of terrain, functional areas, and power scenarios and should be able to demonstrate the viability of connected and autonomous technologies on an operational scale. The primary objective of this research was to survey US commercial facilities associated with autonomous vehicle development, testing, and evaluation.
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Cherniavskyi, Ruslan, Yaroslav Krainyk, and Anzhela Boiko. Modeling university environment: means and applications for university education. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3742.

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In the paper, we establish an investigation on the development of university 3D-model and its possible applications for educational and research fields. We assume that 3D-model of university can help in various scenarios and should be used to adopt modern immersing technologies into to university processes. Different means are employed for the development of the model. Bottom-up approach for using these means and their connection with each other are shown in the work. Then, details of the 3D-model design process are provided with peculiarities related to the university building location and corpuses positions. Finally, assembled models of university are shown in 3ds Max and Unity environments. In the final part of the paper, we suggest scenarios of model usage for educational and research fields. Universities can gain various benefits from integrating their research efforts to employ new technology and identify new development opportunities for both science and education in university. In case of the developed 3D-model, it is planned to use it in the projects connected with client-server applications, Internet-of-Things, Smart Grid, etc. In the educational process it will be a part of case-studies for learning 3D-modeling, development in Unity environment, training for emergency situations.
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Coyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers: Connectivity. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, June 2023. http://dx.doi.org/10.4271/epr2023013.

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<div class="section abstract"><div class="htmlview paragraph">Do connected vehicle (CV) technologies encourage or dampen progress toward widespread deployment of automated vehicles? Would digital infrastructure components be a better investment for safety, mobility, and the environment? Can CVs, coupled with smart infrastructure, provide an effective pathway to further automation? Highly automated vehicles are being developed (albeit slower than predicted) alongside varied, disruptive connected vehicle technology. </div><div class="htmlview paragraph"><b>Automated Vehicles and Infrastructure Enablers: Connectivity</b> looks at the status of CV technology, examines the concerns of automated driving system (ADS) developers and infrastructure owners and operators (IOOs) in relying on connected infrastructure, and assesses lessons learned from the growth of CV applications and improved vehicle-based technology. IOOs and ADS developers agree that cost, communications, interoperability, cybersecurity, operation, maintenance, and other issues undercut efforts to deploy a comprehensive connected infrastructure.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>
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Bolivar, Ángela, Juan Roberto Paredes, María Clara Ramos, Emma Näslund-Hadley, and Gustavo Wilches-Chaux. Protecting the Land. Inter-American Development Bank, May 2016. http://dx.doi.org/10.18235/0006320.

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We do not live in a vacuum. Instead, we are connected to innumerable other living entities, and our individual vantage point is only one among many. When we hear people talk about protecting the land and the landscape that we enjoy, it may be helpful to consider that each of us has a personal environment, experienced from a particular point of view. This personal environment, the landscape that we see, is made up of and affected by everything we can perceive using our senses -immobile mountains, buildings, and trees; moving animals, cars, and people; changes in light, humidity, and temperatureas well as the interactions among these things. As we observe and influence these interactions, we participate in the process of creating the landscape we experience.
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Pulugurtha, Srinivas S., and Raghuveer Gouribhatla. Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology. Mineta Transportation Institute, January 2022. http://dx.doi.org/10.31979/mti.2022.1944.

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Traffic related crashes cause more than 38,000 fatalities every year in the United States. They are the leading cause of death among drivers up to 54 years in age and incur $871 million in losses each year. Driver errors contribute to about 94% of these crashes. In response, automotive companies have been developing vehicles with advanced driver assistance systems (ADAS) that aid in various driving tasks. These features are aimed at enhancing safety by either warning drivers of a potential hazard or picking up certain driving maneuvers like maintaining the lane. These features are already part of vehicles with Driver Assistance Technology, and they are vital for successful deployment of connected and automated vehicles in the near future. However, drivers' responses to driving vehicles with advanced features have been meagerly explored. This research evaluates driver participants' response to scenarios when driving connected and automated vehicles compared to vehicles with and without Driver Assistance Technology. The research developed rural, urban, and freeway driving scenarios in a driver simulator and tested on participants sixteen years to sixty-five years old. The research team explored two types of advanced features by categorizing them into warnings and automated features. The results show that the advanced features affected driving behavior by making driver participants less aggressive and harmonizing the driving environment. This research also discovered that the type of driving scenario influences the effect of advanced features on driver behavior. Additionally, aggressive driving behavior was observed most in male participants and during nighttime conditions. Rainy conditions and female participants were associated with less aggressive driving behavior. The findings from this research help to assess driver behavior when driving vehicles with advanced features. They can be inputted into microsimulation software to model the effect of vehicles with advanced features on the performance of transportation systems, advancing technology that could eventually save millions of dollars and thousands of lives.
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Shukla, Indu, Rajeev Agrawal, Kelly Ervin, and Jonathan Boone. AI on digital twin of facility captured by reality scans. Engineer Research and Development Center (U.S.), November 2023. http://dx.doi.org/10.21079/11681/47850.

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The power of artificial intelligence (AI) coupled with optimization algorithms can be linked to data-rich digital twin models to perform predictive analysis to make better informed decisions about installation operations and quality of life for the warfighters. In the current research, we developed AI connected lifecycle building information models through the creation of a data informed smart digital twin of one of US Army Corps of Engineers (USACE) buildings as our test case. Digital twin (DT) technology involves creating a virtual representation of a physical entity. Digital twin is created by digitalizing data collected through sensors, powered by machine learning (ML) algorithms, and are continuously learning systems. The exponential advance in digital technologies enables facility spaces to be fully and richly modeled in three dimensions and can be brought together in virtual space. Coupled with advancement in reinforcement learning and computer graphics enables AI agents to learn visual navigation and interaction with objects. We have used Habitat AI 2.0 to train an embodied agent in immersive 3D photorealistic environment. The embodied agent interacts with a 3D environment by receiving RGB, depth and semantically segmented views of the environment and taking navigational actions and interacts with the objects in the 3D space. Instead of training the robots in physical world we are training embodied agents in simulated 3D space. While humans are superior at critical thinking, creativity, and managing people, whereas robots are superior at coping with harsh environments and performing highly repetitive work. Training robots in controlled simulated world is faster and can increase their surveillance, reliability, efficiency, and survivability in physical space.
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Szybinska Matusiak, Barbara, Justyna Martyniuk-Peczek, Sergio Sibilio, Claudia Naves, David Amorim, David Amorim, Michelangelo Scorpio, Giovanni Ciampi, et al. Subtask A: User perspective and requirements - A.3 Personas. IEA SHC Task 61, October 2021. http://dx.doi.org/10.18777/ieashc-task61-2021-0009.

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The consumption of energy for lighting in buildings depends very much on the way people interact with the build environment. In this study the following building types were studied, office, school, university, commercial and industry buildings. For each building type typical user groups were identified. Then, Personas have been created for each group. As opposed to describing users with numbers and statistics, a single Persona reflects a group and is presented with a narrative. The Persona has a name, a family and living conditions that are representative for the group, also her/his values and interests are not uncommon. The Personas “typical day” includes a time schedule typical for the group. Visual conditions are common for the group, but some specific challenges connected to the visual conditions that may occur in the group are also mentioned.
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