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Relevant bibliographies by topics / International Traffic Safety Data and Analysis Group

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Academic literature on the topic 'International Traffic Safety Data and Analysis Group'

Author: Grafiati

Published: 29 July 2024

Last updated: 31 July 2025

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Journal articles on the topic "International Traffic Safety Data and Analysis Group"

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Holló, Péter. "Biztonságiöv-viselési arányok Magyarországon és külföldön." Közlekedéstudományi Szemle 70, no. 6 (2020): 59–64. http://dx.doi.org/10.24228/ktsz.2020.6.5.

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Az egyik legfontosabb közlekedésbiztonsági teljesítménymutató a biztonságiöv-viselési arány. A hazai értékek alakulása és elemzése, más országokhoz történő viszonyítása fontos információkkal szolgál. Az írás a biztonságiöv-viselési arány hazai értékeinek alakulását elemzi más országokhoz képest. Erre az IRTAD (International Traffic Safety Data and Analysis Group), az OECD tagországok közúti forgalmi és baleseti adatbankja ad lehetőséget, ugyanis ez az útkategóriák szerint tartalmazza a személygépkocsik különböző ülésein megfigyelt biztonságiöv-viselési arányokat.

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Kharisma, Galuh, Andri Irfan Rifai, Mohamad Taufik, and Joewono Prasetijo. "The Analysis Of Deterioration Of Village Road: A Case Of Palasah-Majalengka." Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) 3, no. 9 (2024): 1755–62. http://dx.doi.org/10.57185/jetbis.v3i9.137.

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Raising international issues related to road maintenance and repair. Road damage occurring in various countries, including cracks, potholes, and surface deformation, significantly impacts transportation safety and efficiency. Many roads in certain regions experience damage such as cracks, potholes, and surface deformation due to increased traffic loads and extreme weather conditions. The purpose of this paper is to analyze road damage in Karamat Village according to Bina Marga standards, to identify and understand the causes and effects of such damage. Primary data is the data collected from f

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Hima, Drita. "INFLUENCE OF ROAD NETWORK STRUCTURE AND MOBILITY FLOWS ON THE SCALE OF TRAFIC FATALITIES." Interdisciplinary Journal of Research and Development 6, no. 1 (2019): 67. http://dx.doi.org/10.56345/ijrdv6n105.

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This paper is adapted from the literature (EWGT 2012 -Kazimierz Jamroz * - 15th meeting of the EURO Working Group on Transportation), according to the EU guidelines for getting "Best Practice" as a guide material to be used in the opening of the horizon in the Road Safety Study related to the description of the effect of selecting the "Road Network Structure", which should be the basis of "policy making" for defining the National Plan of Infrastructure Development of the Road Network of Albania, the change in "Mobility Flows" defined in the National Transport Plan, and the "Death at Traffic Ac

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Ali, Nadir, Sadaf Sajid, Fatima Arshad, Usama Ahmad, and Humza Naveed. "Motorization Rate Resulting in a Road Traffic Accident an Epidemiological Audit of Injuries and Factors in the Medium-Scaled Cities of Punjab, Pakistan." Pakistan Journal of Medical and Health Sciences 16, no. 7 (2022): 347–50. http://dx.doi.org/10.53350/pjmhs22167347.

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Background: Motor vehicles are increasing exponentially day by day all over the world with a global increasing prevalence of road traffic accidents. This situation of mass motorization has affected developing countries like Pakistan as well. Due to a lack of popper legislation and implementation of the law, the RTA situation is worse and requires proper research of epidemiological factors and medico-legal evaluation of injuries. Purpose: To see the pattern of RTA injuries and various epidemiological factors influencing them in the medium-scaled city like Sargodha, Gujranwala, Sialkot, and Guja

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Shi, Zhenwei, Zhizhong Kang, Yi Lin, Yu Liu, and Wei Chen. "Automatic Recognition of Pole-Like Objects from Mobile Laser Scanning Point Clouds." Remote Sensing 10, no. 12 (2018): 1891. http://dx.doi.org/10.3390/rs10121891.

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Mobile Laser Scanning (MLS) point cloud data contains rich three-dimensional (3D) information on road ancillary facilities such as street lamps, traffic signs and utility poles. Automatically recognizing such information from point cloud would provide benefits for road safety inspection, ancillary facilities management and so on, and can also provide basic information support for the construction of an information city. This paper presents a method for extracting and classifying pole-like objects (PLOs) from unstructured MLS point cloud data. Firstly, point cloud is preprocessed to remove outl

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Gao, Chuang, Jiabin Yu, Xiaoguang Zhao, Haibao Wang, Zhiyong Liu, and Yaodong Gu. "The Effect of Built Environment on Older People Leisure-Time Walking and Physical Activity in Different Sex Groups in the City of Ningbo, China." Sustainability 14, no. 11 (2022): 6562. http://dx.doi.org/10.3390/su14116562.

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The aim of this study was to examine the effect of built environment (BE) elements on older people’s (OP) leisure-time physical activity (LTPA) and leisure-time walking (LTW) level in the city of Ningbo. Older participants numbering 312 were randomly recruited using cross-sectional survey in 2019. International Physical Activity Questionnaire-short version (IPAQ-S) and Neighborhood Environment Walkability Scale—abbreviated (NEWS-A)—were used to gather LTPA data and the perceive scores of BE, respectively. Liner regression analysis was performed to investigate the association relationship betwe

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Andrews, Peter JD, H. Louise Sinclair, Aryelly Rodríguez, et al. "Therapeutic hypothermia to reduce intracranial pressure after traumatic brain injury: the Eurotherm3235 RCT." Health Technology Assessment 22, no. 45 (2018): 1–134. http://dx.doi.org/10.3310/hta22450.

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Background Traumatic brain injury (TBI) is a major cause of disability and death in young adults worldwide. It results in around 1 million hospital admissions annually in the European Union (EU), causes a majority of the 50,000 deaths from road traffic accidents and leaves a further ≈10,000 people severely disabled. Objective The Eurotherm3235 Trial was a pragmatic trial examining the effectiveness of hypothermia (32–35 °C) to reduce raised intracranial pressure (ICP) following severe TBI and reduce morbidity and mortality 6 months after TBI. Design An international, multicentre, randomised co

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Minenko, Evgen, Olexandr Pyna, Olga Belenchuk, and Tetyana Bondar. "ANALYSIS AND RESULTS OF MEASURES TO ENSURE ROAD SAFETY IN UKRAINE FOR THE PERIOD." Dorogi i mosti 2021, no. 24 (2021): 134–48. http://dx.doi.org/10.36100/dorogimosti2021.24.134.

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Introduction. Undesirable consequences of fast increase of the vehicle fleet are an increase in the level of accident rate and the number of deaths and injuries in traffic accidents (hereinafter accidents). The positive experience of other countries shows that objectives indicators for reducing the number of traffic accident victims by implementing reasonable measures to eliminate the dominant causes of accidents is the most effective way to achieve the desired result in improving traffic safety. Problem statement. Considering the enormous economic lost caused by traffic accidents, improving o

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Reyad, Passant, Tarek Sayed, Mohamed H. Zaki, and Shewkar E. Ibrahim. "School zone safety diagnosis using automated conflicts analysis technique." Canadian Journal of Civil Engineering 44, no. 10 (2017): 802–12. http://dx.doi.org/10.1139/cjce-2016-0586.

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School safety is a high priority for road safety agencies worldwide due to the growing concerns about student safety and emphasis on community livability. However, the lack of consistent data available at schools makes it challenging for engineers to understand the safety issues faced accurately. Traffic conflicts have been advocated in the literature as a surrogate safety measure due to the advantages it offers for road safety evaluations. This paper demonstrates the capability of automated traffic safety diagnosis at a school using computer vision techniques. The selected school is located i

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Teng, Ying Xiang, Hu Gang Zhao, Jie Yang, and Jin Lu Sheng. "Water Traffic Safety Evaluation Based on the Grey Correlation Grade Analysis." Applied Mechanics and Materials 571-572 (June 2014): 295–98. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.295.

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Aiming at the deficiency of the water traffic safety evaluation method in our country, the water traffic safety evaluation model was established after full discussing, which is based on grey relational grade analysis. The water traffic safety status of shipping companies was evaluated through their correlation, which is on the basis of the Five index method, after the original data in a reasonable manner of dimensionless processing. Through a case of a shipping group, it is proved that the grey correlation greed analysis method can evaluate enterprise's security situation simply and effectivel

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Books on the topic "International Traffic Safety Data and Analysis Group"

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International Traffic Safety Data and Analysis Group. IRTAD annual report 2009. IRTAD, 2009.

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Book chapters on the topic "International Traffic Safety Data and Analysis Group"

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Gan, Jiahua, Meng Zhang, and Yun Xiao. "Multidimensional Data Analysis Based on LOGIT Model." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_32.

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AbstractLogit Model is an important method for empirical analysis of multi-source data. In order to explore the traffic safety mechanism, The Paper taked traffic behavior data as an example, researched personal characteristics of truck drivers, Analyzed the influence of the driver’s personal traits on traffic violations. Based on the binary logistics regression model, the analysis model of traffic violations was established. The results show that personality, driver’s license level, daily driving time, transportation route, vehicle ownership, and occupational disease are important factors that

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Bidkar, Omkar, Shriniwas Arkatkar, and Gaurang Joshi. "Investigating Surrogate Safety Measures Under Varying Roadway and Traffic Conditions Using Vehicular Trajectory Data." In Proceedings of the Sixth International Conference of Transportation Research Group of India. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4204-4_17.

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Tang, Lili. "Design of Portable Intelligent Traffic Light Alarm System for the Blind." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_26.

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AbstractThe system is composed of STC single chip microcomputer, color signal recognizer and sensor control module, wireless communication control module, voice and video synthesizer and broadcast control module. STC MCU adopts STC89C52; color recognition sensor module uses gy-33 color recognition sensor, which can identify the current traffic light conditions; wireless communication module uses nRF24L01 made by Nordic company, which needs to be installed at the sending end and the receiving end to send the current traffic light information; the speech synthesis broadcasting module uses the TT

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Winkle, Thomas. "Introduction." In Product Development within Artificial Intelligence, Ethics and Legal Risk. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-34293-7_1.

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AbstractWith regard to safe product development in the dilemma between Artificial Intelligence, ethics and legal risk, Prof. Dr.-Ing. MBA Thomas Winkle first provides a meta-analysis on safety assessment based on accident data examples to show possible definitions of safety benefits and risk. With more than 20 years of research and consulting at three automobile manufacturers, Thomas Winkle also points to disasters from nuclear power plant accidents at Chernobyl and Fukushima. Further comparisons between global mortality rates of women and men to life expectancy of different countries of the w

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"Spatial and Temporal Distribution of Pedestrian Crashes." In Big Data Analytics in Traffic and Transportation Engineering. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7943-4.ch006.

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In order to develop effective and targeted safety programs, the location and time-specific influences on vehicle-pedestrian crashes must be assessed. Therefore, spatial autocorrelation was applied to the examination of vehicle-pedestrian crashes in geographic information systems (GISs) to identify any dependency between time and location of these crashes. Spider plotting and kernel density estimation (KDE) were then used to determine the temporal and spatial patterns of vehicle-pedestrian crashes for different age groups and gender types. Temporal analysis shows that pedestrian age has a signi

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Deb, Saikat, Debasish Das, Debargha Banerjee, et al. "EFFECT OF ON-ROAD PARKING ON TRAFFIC STREAM CHARACTERISTICS FOR A MIXED TRAFFIC CONDITION: A SUSTAINABLE SOLUTION FOR BETTER TRAFFIC MOVEMENT." In Proceedings of International Conference on Engineering Materials and Sustainable Societal Development [ICEMSSD 2024]. Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025. https://doi.org/10.58532/nbennuricemssd23.

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With an emphasis on urban settings, this study explores the complex relationship between on-road parking and its effects on traffic flow parameters. The study looks into how on- road parking affects vehicle speed and traffic volume. It uses novel methodology that combines license plate based parking surveys, spot speed data collection techniques, and traffic volume data collection techniques. The study establishes correlations between parking-related parameters (like parking volume, parking duration, and effective road width) and traffic parameters through meticulous data analysis. On-street p

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Vaněk Ondřej, Jakob Michal, and Pěchouˇek Michal. "Using Data-Driven Simulation for Analysis of Maritime Piracy." In NATO Science for Peace and Security Series - E: Human and Societal Dynamics. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-201-1-109.

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Agent-based modelling has gained popularity as a useful technique for obtaining insights into the behaviour of complex adaptive systems in various fields including economics, sociology and ecology. With its complex interactions between routes, schedules and engagement strategies, transit through piracy-affected waters is a problem very well suited for the application of this powerful modelling approach. Within the AgentC project, we have been developing a data-driven, agent-based model of global maritime traffic explicitly accounting for the effects of maritime piracy. The model employs finite

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Aruch, Matthew, Felix Alvarado, Rachel Dyl, et al. "Bridging the Curricular Divide: Open Educational Resources and the Digitization of Guatemala’s National Basic Curriculum." In Education and Development in Central America and the Latin Caribbean. Policy Press, 2024. http://dx.doi.org/10.1332/policypress/9781529231717.003.0008.

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In 2005, the Guatemalan Ministry of Education (MINEDUC) introduced the National Basic Curriculum (CNB). While innovative in its scope and design, financial constraints limited curriculum distribution and implementation. To facilitate access, a Guatemalan citizen living in the US began digitizing CNB onto cnbGuatemala.org in 2012. The wiki website modularized CNB by grade level and content area, while also including hyperlinks to relevant open educational resources (OERs). Through an analysis of institutional documents, website analytics, survey data, and focus group feedback, this chapter inve

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"18-FDG PET/CT in the diagnosis and treatment of drug- resistant epilepsy with autologous bone marrow mesenchymal stem cells (ABMMSC)." In Book of Abstracts - RAD 2025 Conference. RAD Centre, Niš, Serbia, 2025. https://doi.org/10.21175/rad.abstr.book.2025.24.1.

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Purpose/Objective To investigate 18-FDG PET/CT in the diagnosis and treatment of drug-resistant epilepsy with AMCSC. Material/Methods The study included 34 patients with drug-resistant epilepsy and generalized seizures (main group) and 34 patients in the comparison group from 2011 to 2023. Main group patients received stem cell therapy, while in the comparison group, treatment was carried out only according to the current protocol. All of patients were assessed for brain bioelectrical activity, PET/CT, MRI, immune status, BDNF. The analysis consisted of comparing the PET data of each patient w

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"Characterization and calibration of a batch of five thousand SSNTD Columbia Resin 39 detectors." In Book of Abstracts - RAD 2025 Conference. RAD Centre, Niš, Serbia, 2025. https://doi.org/10.21175/rad.abstr.book.2025.43.1.

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The sampling of radon 222 (Rn-222) in confined environments can be performed using solid- state nuclear track detectors (SSNTD) of the Columbia Resin 39 (CR-39) type. The alpha tracks imprinted by radon on the surface of the sensitive material become visible through chemical etching and are subsequently counted to determine the radon activity concentration in the environment. In 2022, the National Inspectorate for Nuclear Safety and Radiation Protection (ISIN) carried out the characterization and calibration of a batch of 5054 CR39 detectors supplied by a British manufacturer and divided into

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Conference papers on the topic "International Traffic Safety Data and Analysis Group"

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Yan, Hongyu, Jianbo Li, Zhihao Xu, and Zhiqiang Lv. "Meta Analysis of Traffic Safety Prediction." In 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2024. https://doi.org/10.1109/cbd65573.2024.00047.

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Zhao, Shishu, Shuai Zhang, and Cheng Zhang. "Differential analysis of active safety test in China based on traffic accident data." In International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2024), edited by Yi Zhou and Jianqing Wu. SPIE, 2025. https://doi.org/10.1117/12.3059307.

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Zhou, Feixiang, Shaoweihua Liu, Shi Feng, Yujie Zhang, and Xi Luo. "Analysis of Crash Precursors under Different Traffic Flow Conditions with Enhanced Interpretability." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7134.

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<div class="section abstract"><div class="htmlview paragraph">This study investigates the precursors of crashes under varying traffic states through an in-depth analysis of freeway traffic data. This method effectively addresses the limitations associated with using surrogate measures in traffic safety research. We used the k-means clustering method to categorize traffic states into three types: free flow, transitional state, and congested flow. By employing the case-control study experimental approach, we conducted an in-depth analysis of the traffic data. During the feature selec

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Srinivasan Rammanoharan, Sneha, Jose Alguindigue, Apurva Narayan, and Siby Samuel. "SHRP2 Naturalistic Data Analysis of Older Drivers’ Gap-Acceptance Behaviour." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002478.

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Drivers aged 65 and older are very prone to motor vehicle crashes. Intersections appear to be hazardous for drivers of this age group due to the driver’s cognitive, perceptual, and psychomotor challenges. Literature notes that older drivers find it incredibly challenging to safely navigate left turns at signalized intersections. Studies have identified the driver’s physical health, vision, and cognition as factors that impact the ability of older drivers to sufficiently monitor the gaps in oncoming traffic to make a left turn safely. The current paper aims to address the gap in the literature

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Fei-Hui, Huang. "Analyzing the Factors Influencing Scooter Usage and Safety Among Young Riders in Taiwan." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005777.

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Approximately 1.24 million people die every year on the world’s roads, and another 20 to 50 million sustain nonfatal injuries as a result of road traffic crashes (WHO, 2013). Unfortunately, this number has not changed significantly over the past 10 years. Worldwide, traffic accidents are the leading cause of death for people aged 15-29 years and the ninth leading cause of death across all age groups (WHO, 2015). According to the World Health Organization (WHO, 2005), motor vehicle accidents are the second most frequent cause of death for individuals aged 5-29 years, and projections indicate th

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Looten, Kylian, Camille Gillet, and Samuel Aupetit. "Experimentation of an innovative device for pedestrian safety: an eye tracking study in real traffic conditions." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005426.

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In a context where the number of cars is constantly increasing, pedestrian safety appears more necessary than ever. In certain high-risk urban areas, pedestrian safety depends on the driver's ability to see the pedestrian and the crosswalk (Lantieri, 2021). To improve pedestrian detection by the driver, Colas (a French civil engineering company) has developed an innovative technology for crosswalks. This solution is called Flowell and consists of colored light strips on the ground, which indicate when the pedestrian should cross. The objective of this study is to test if the Flowell technology

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Lima, Bianca de Souza, Gabriela Dezan Monção, João Nelson dos Santos Rodrigues Filho, et al. "Effects of domestic trauma on infant mortality: An analysis of the impacts on pediatric health." In III Seven International Medical and Nursing Congress. Seven Congress, 2024. http://dx.doi.org/10.56238/iiicongressmedicalnursing-028.

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Childhood trauma resulting from domestic accidents is a serious public health problem in Brazil, where traffic accidents and drowning are the main causes of infant mortality. Approximately 4,700 children die annually and 125,000 are hospitalized due to accidents. These events are often predictable and preventable. Domestic accidents involving children are associated with social and cultural factors such as lack of family knowledge, absence of a preventive culture, inadequate surveillance, and unsafe environments. The review seeks to compile data on childhood trauma to promote discussions that

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Al Wahaybi, Maryam Humaid, Roeland van Gilst, Fathiya Hilal Salmi, et al. "Utilizing Lean & Machine Learning to Monitor and Managing Production Induced Subsidence in a Mature Oil and Gas Field and to Ensure Safety of 200+ Field Staff and Safeguard More Than 200 Mln BOE Natih & Shuaiba." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208147-ms.

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Abstract The MicroSeismic (MS) events, also referred to as tremors or induced seismicity, can be triggered by reservoir depletion and compaction as a result of hydrocarbon production with time. In order to measure and locate the MS events in the Field A; Petroleum Development of Oman (PDO) installed many downhole geophones and accelerometers across the field since 2011. The monitoring network allows subsurface teams to understand magnitude, location and depth of the events. Till the end of 2019 a total of 5,597 MS events were recorded and analysed. In 2020 a new Standard Operating Procedure (S

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Chen, Lihui, and Pin Wang. "Risk factor analysis of traffic accident for different age group based on adaptive boosting." In 2017 4th International Conference on Transportation Information and Safety (ICTIS). IEEE, 2017. http://dx.doi.org/10.1109/ictis.2017.8047861.

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Erts, Kaspars, and Santa Bormane. "Social marketing: promoting a change in public behaviour. A case study of company "Rigas Mezi"." In 24th International Scientific Conference. “Economic Science for Rural Development 2023”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2023. http://dx.doi.org/10.22616/esrd.2023.57.037.

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Social marketing is often used in public administration and in the activities of NGOs, for example in health care, traffic safety, anti-corruption etc, but there is a lack of case studies on the design of these campaigns, the methods used, as well as the results achieved. However, public administration and NGOs are not the only ones that can use social marketing to change the social order, since in business too, public opinion and action often affect and influence companies in various sectors that work in the public interest or manage state and municipal property. The aim of the study is to de

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Reports on the topic "International Traffic Safety Data and Analysis Group"

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Arhin, Stephen, Babin Manandhar, and Adam Gatiba. Influence of Pavement Conditions on Commercial Motor Vehicle Crashes. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2343.

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Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected

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Motamed, Ramin, David McCallen, and Swasti Saxena. An International Workshop on Large-Scale Shake Table Testing for the Assessment of Soil-Foundation-Structure System Response for Seismic Safety of DOE Nuclear Facilities, A Virtual Workshop – 17-18 May 2021. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2024. http://dx.doi.org/10.55461/jjvo9762.

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Aging infrastructure within the US Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) nuclear facilities poses a major challenge to their resiliency against natural phenomenon hazards. Examples of mission-critical facilities located in regions of high seismicity can be found at a number of NNSA sites including Lawrence Livermore National Laboratory, Los Alamos National Laboratory, and the Nevada National Security Site. Most of the nation’s currently operating nuclear facilities have already reached their operating lifetime, and most currently operating nuclear p

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Introduction to MedDRA Labeling Grouping (MLG): a standardized approach to grouping adverse reactions in product safety labels. Council for International Organizations of Medical Sciences (CIOMS), 2024. http://dx.doi.org/10.56759/hmku5307.

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The Medical Dictionary for Regulatory Activities (MedDRA) is a terminology developed by the International Council for Harmonisation (ICH). While it is useful for precise coding of adverse events of medicines for data analysis, its high granularity can obscure the communication of adverse reactions in product labeling for healthcare practitioners. Many sponsors and regulators have therefore begun to develop their own approaches to clustering similar adverse reaction terms in medical product prescribing information on a product-by-product basis. However, there are no agreed-upon conventions that

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