Relevant bibliographies by topics / Road Traffic Accident (RTA)

Contents

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

Academic literature on the topic 'Road Traffic Accident (RTA)'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Road Traffic Accident (RTA)"

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Kaushal, Kishore, and Kumar Bipin. "A Cross Sectional Study to Assess the Demographic Profiles of Victims of Fatal Road Traffic Accidents." International Journal of Toxicological and Pharmacological Research 11, no. 6 (2021): 47–54. https://doi.org/10.5281/zenodo.12581252.

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<strong>Aim:</strong>&nbsp;Demographic profiles of victims of fatal road traffic accidents in Bihar population.&nbsp;<strong>Methods:&nbsp;</strong>The cross sectional study was conducted in the Department of Forensic Medicine and Toxicology, SKMCH, Muzaffarpur, Bihar, India for 1 year. Total 200 dead bodies of victims of road traffic fatalities brought to mortuary for medico-legal post mortem examination in the department of forensic medicine.&nbsp;<strong>Results:&nbsp;</strong>Age group of 21-30 years comprising 28% (56 cases) followed by age group 31-40 years i.e.20% (40 cases). Male victi
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Kaushal, Kishore, and Kumar Bipin. "A Cross Sectional Study to Assess the Demographic Profiles of Victims of Fatal Road Traffic Accidents." International Journal of Toxicological and Pharmacological Research 11, no. 6 (2021): 84–91. https://doi.org/10.5281/zenodo.12582293.

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<strong>Aim:</strong>&nbsp;Demographic profiles of victims of fatal road traffic accidents in Bihar population.&nbsp;<strong>Methods:&nbsp;</strong>The cross sectional study was conducted in the Department of Forensic Medicine and Toxicology, SKMCH, Muzaffarpur, Bihar, India for 1 year. Total 200 dead bodies of victims of road traffic fatalities brought to mortuary for medico-legal post mortem examination in the department of forensic medicine.&nbsp;<strong>Results:&nbsp;</strong>Age group of 21-30 years comprising 28% (56 cases) followed by age group 31-40 years i.e.20% (40 cases). Male victi
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Chourasia, Sachin, K. V. Radhakrishna, Ravi Rautji, and Shivakumar D. K. "Road traffic accidents attending casualty in a tertiary care hospital : a 03 year study from South Western India." International Journal of Research in Medical Sciences 7, no. 10 (2019): 3744. http://dx.doi.org/10.18203/2320-6012.ijrms20194303.

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Background: Road Traffic Accident (RTA) is any vehicular accident occurring on the roadway i.e. originating on, terminating on, or involving a vehicle partially on the roadway. Road traffic accidents are a human tragedy which has an immeasurable impact on the families affected. The WHO estimates that over 1.2 million people pass away every year on the world’s roads, and between 20 and 50 million fall victims to non-fatal injuries. The incidence of RTA remains poorly measured in India.Methods: The present study is conducted at casualty department of a tertiary care hospital in South Western Ind
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Davies, Owunari S., H. Etuk Ette, and A. Amos. "Time series analysis of road traffic accident in Rivers State, Nigeria." Ianna Journal of Interdisciplinary Studies 1, no. 1 (2019): 118–32. https://doi.org/10.5281/zenodo.10500579.

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Abstract <strong>Background:&nbsp;</strong>Transport plays a significant role in the activities of man. Increase usage of road transport raises the likelihood of the occurrence of road traffic accident (RTA). Road accidents are considered major causes of death in the world today and thus are major health challenges all over the world. Accidents on our roads are serious problems that need attention. Road traffic accidents would increase in number if tangible efforts are not made to tackle the problem. <strong>Objectives:</strong>&nbsp;The aim of the study is to fit a statistical model that woul
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Fahad, Algahtani, Elalem Omaima, Kamel Mosbah Mahmoud Soha, Villareal Sandro, and Glalal Abd El-Razik Siam Bahia. "RISK FACTORS CONTRIBUTED TO ROAD TRAFFIC ACCIDENTS AMONG MALE STUDENTS OF NURSING COLLEGE IN HAIL UNIVERSITY." International Journal of Novel Research in Healthcare and Nursing 10, no. 2 (2023): 35–41. https://doi.org/10.5281/zenodo.7990450.

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<strong>Abstract:</strong> According to the mortality report of the Ministry of Health issued Road, Traffic Accidents (RTA) form one of the leading causes of mortality and disability in Saudi Arabia. <em>The objective</em> of this study was to examine risk factors related to road traffic accidents among Hail University&rsquo; students. <em>Subjects and methods</em> Descriptive design was used in carrying out this study. <em>Setting</em>: The present study was conducted in collage of Nursing in Hail University male side. <em>Sampling</em>: using a convenient method (100) student from the previo
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Rahman, Md Moshiur, Farzana Zafreen, and Abu Noman Mohammed Mosleh Uddin. "Characteristics of Road Traffic Accident Cases Reported in a Tertiary Military Hospital." Journal of Armed Forces Medical College, Bangladesh 15, no. 2 (2020): 213–17. http://dx.doi.org/10.3329/jafmc.v15i2.50842.

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Introduction: Road traffic accidents (RTA) are the eighth leading cause of death globally, and the leading cause of death in Bangladesh. The road safety situation in Bangladesh has been deteriorating with increasing number of road accident deaths, largely as direct consequences of rapid growth in population, motorization, urbanization and lack of investment in road safety.&#x0D; Objectives: To describe the injury characteristics of road traffic accidents cases that reported at Combined Military Hospital (CMH), Dhaka.&#x0D; Materials and Methods: This descriptive cross-sectional hospital based
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Timofeeva, Svetlana S., Semen S. Timofeev, and Aleksey А. Taskaev. "Risks of road accidents in Irkutsk region." XXI century. Technosphere Safety 5, no. 4 (2020): 411–20. http://dx.doi.org/10.21285/2500-1582-2020-4-411-420.

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The article deals with the issue of road safety. The aim is to analyze the accident rate on the roads of rkutsk region and assess the risk of road traffic accidents (RTA). The research is based on statistical data. A comparative analysis of the risks of road accidents and the risks of death of road users is carried out. The risk of death in accidents is higher in Slyudyanka district than in Irkutsk region, which is due to the complex route and mountainous areas. The damage caused by road traffic accidents is increasing every year.
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Agrawal, Tripti, Sandeep Kumar Sinha, and Nitesh Agrawal. "Retrospective Evaluation of Determinants of Road Traffic Injuries at a Naval Station." Indian Journal of Community Health 33, no. 1 (2021): 205–11. http://dx.doi.org/10.47203/ijch.2021.v33i01.030.

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Introduction: Several factors like globalization, industrialization, migration, access to modern ways of living, increasing income levels, easy availability of vehicles, point of use entertainment/communication gadgets, media influence and others have brought human beings in close contact with a variety of challenges to safe driving, resulting in an increased occurrence of Road Traffic injuries across the globe. Methods and Material: A cross-sectional descriptive study was conducted at naval station amongst victims of road traffic accidents who reported to emergency department of naval hospita
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Petrov, A. I., and E. V. Likhayrova. "SPATIAL AND TEMPORAL DYNAMICS OF THE SPECIFICS OF THE RISK OF ROAD TRAFFIC ACCIDENTS IN LARGE RUSSIAN CITIES (2015–2023)." Intellect. Innovations. Investments, no. 5 (2024): 64–81. http://dx.doi.org/10.25198/2077-7175-2024-5-64.

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In the course of practical implementation of the Road Safety Strategy in the Russian Federation, relevant specialists realize not only the unreality of achieving its goals within the established time frame, but also the declarative nature of this document and the lack of appropriate scientific and methodological tools, the use of which could help in solving the tasks set. One of the important elements of this tool could be a methodology for quantitative assessment of the risks of road traffic accidents. Another element is the results of assessing the spatio-temporal specificity of risk formati
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Subba, Neela, and Dipty Subba. "Knowledge regarding prevention of road traffic accidents among the adolescents in a community at Dharan Municipality." Nepalese Journal of Biosciences 4, no. 1 (2014): 81–84. http://dx.doi.org/10.3126/njbs.v4i1.41753.

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Descriptive study with the aim to assess knowledge regarding prevention of road traffic accidents was done by administrating self-structured questionnaire among 100 adolescents (between 10-19 years) at Dharan Municipality. Questionnaire includes the information regarding demographic and knowledge about meaning, causes and prevention of road traffic accidents. Among the respondents 55% were male and 45% were female. Driver responsibility and not obeying traffic signals for occurrences of RTA, use of safety seat belts for minimizing Road Traffic Accident, were the most responses provided 85%, 91
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Dissertations / Theses on the topic "Road Traffic Accident (RTA)"

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Diakite, Aïssata. "Rôle de l'alcool et des substances psychoactives dans les accidents de la voie publique à Abidjan, Côte d'Ivoire (Étude ASMA-CI)." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10064/document.

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L'objectif de notre thèse est d'évaluer le rôle de l'alcool et autres substances psychoactives dans la survenue et la gravité des traumatismes dus aux Accidents de la Voie Publique (AVP) en Côte d'Ivoire. Nous avons initié un recueil de données sur 893 victimes tuées ou blessées suite à un AVP, et admises aux urgences ou à l'Institut de Médecine Légale d'Abidjan. Ces données hospitalières ont été couplées aux données policières et aux résultats d'analyses toxicologiques. La méthode de dosage de l'alcoolémie par CPG-FID a démontré qu'elle répond parfaitement aux critères de performances analyti
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Zheng, Yunan. "The impact of localized road accident information on road safety awareness." Thesis, Connect to e-thesis, 2007. http://theses.gla.ac.uk/721/.

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Thesis (Ph.D.) - University of Glasgow, 2007.<br>Ph.D. thesis submitted the Faculty of Information and Mathematical Sciences, Department of Computing Science. Includes bibliographical references. Print version also available.
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Naji, Jamil Abdul-Rabb. "Road accident analysis in Yemen : the identification of shortcomings in road accident data, data adjustment, cost and development of road fatality model." Thesis, University of South Wales, 1996. https://pure.southwales.ac.uk/en/studentthesis/road-accident-analysis-in-yemen(8586c669-4709-4b2c-9d83-45003bc5d0bf).html.

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The true extent of the road accident problem in Yemen is questionable. Some agencies and citizens believe that the safety situation in Yemen is very critical while others disagree with this belief. Both sides however, agree that the road accident problem in Yemen is such that it requires considerable attention. Since Yemen has no history in road safety research and since there is no reliable road accident data in the country, making final judgements on the situation is difficult unless supported by adequate research. The aim of the present research is to provide a better understanding of the r
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Mollet, C. J. "The analysis of road traffic accident data in the implementation of road safety remedial programmes." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52483.

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Thesis (M.Ing.)--Stellenbosch University, 2001.<br>ENGLISH ABSTRACT: A road safety remedial programme has as an objective the improvement of road transportation safety by applying road safety engineering remedial measures to hazardous road network elements in a manner that will be economically efficient. Since accident data is the primary manifestation of poor safety levels it must be analysed in manner that will support the overall objective of economic efficiency. Three steps in the process of implementing a road safety remedial programme, that rely on the systematic analysis of accid
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Andeta, Jemal Ahmed. "Road-traffic accident prediction model : Predicting the Number of Casualties." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20146.

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Efficient and effective road traffic prediction and management techniques are crucial in intelligent transportation systems. It can positively influence road advancement, safety enhancement, regulation formulation, and route planning to save living things in advance from road traffic accidents. This thesis considers road safety by predicting the number of casualties if an accident occurs using multiple traffic accident attributes. It helps individuals (drivers) or traffic offices to adjust and control their contributions for the occurrence of an accident before emerging it. Three candidate alg
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Zhao, Qiang. "Multi-model based simulation in the reconstruction of road traffic accident." Thesis, Loughborough University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500371.

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A Synthetic Traffic SIMluation (ST-SIM) framework is constructed in this project. The framework provides a computer-based platform for traffic research, consisting of three modules: Driver Behaviour, Vehicle Dynamics, and Road Network modelling. Based on these models, ST-SIM can construct and simulate a broad range of traffic scenarios, including accidents. The research in this project has concentrated on the contribution of driver behaviour to the formation of normal traffic and traffic failure, ST-SIM has been designed and implemented using Agent-based modelling techniques. The software has
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Hetherington, Angela. "Stress in accident and emergency personnel and road traffic patrol officers." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385778.

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Chan, Wing-yee. "An application of GIS for road accident analysis in Hong Kong /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23294577.

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Shoarian-Sattari, Kamal. "Use of vehicle flow parameters as predictors of road traffic accident risk." Thesis, Queen Mary, University of London, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391324.

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Ohene, Lillian. "Family centred care for children in Ghana hospitalised through road traffic accident." Thesis, De Montfort University, 2017. http://hdl.handle.net/2086/16366.

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Road traffic accident (RTA) is one of the leading causes of injuries and hospitalisation of children in Ghana. The sudden hospitalisation of the injured child is associated with anxieties and stressful episodes for the affected families. Family Centred Care (FCC) is a concept in paediatric nursing, which forms the basis of care for sick children and their families. FCC as a product of social constructs differs in cultures and context, despite the universal principles underpinning the concept. There is a perceived lack of knowledge of the concept in childcare practice in Ghana. This study explo
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Books on the topic "Road Traffic Accident (RTA)"

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A, Ritchie Andrew M., Wilson Christopher, and Association of Personal Injury Lawyers., eds. Guide to RTA liability. Jordans, 2009.

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A, Ritchie Andrew M., Wilson Christopher, and Association of Personal Injury Lawyers., eds. Guide to RTA liability. Jordans, 2009.

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Unit, Environmental Research. Road accident facts Ireland. EnvironmentalResearch Unit, 1989.

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Authority, National Roads, ed. Road accident facts Ireland. National Roads Authority, 1994.

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Unit, Environmental Research, ed. Road accident facts Ireland. Environmental Research Unit, 1993.

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Unit, Environmental Research, ed. Road accident facts Ireland. Environmental Research Unit, 1992.

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Authority, National Roads, ed. Road accident facts Ireland. National Roads Authority, 1996.

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Unit, Royal Ulster Constabulary Central Statistics. Road traffic accident statistics: Annual report. Force Publications Branch, 1999.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. Force Publications Branch, 1997.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. HMSO, 1996.

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Book chapters on the topic "Road Traffic Accident (RTA)"

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Ryan, G. Anthony. "Road Accident Prevention Research Unit, Accident Analysis and Prevention." In Transportation, Traffic Safety and Health — Man and Machine. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57248-7_12.

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Gupta, Sumit, and Awadhesh Kumar. "Machine Learning Strategies for Analyzing Road Traffic Accident." In Intelligent Human Computer Interaction. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53827-8_35.

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Fernandes, Fábio A. O., Ricardo J. Alves de Sousa, and Mariusz Ptak. "Application of Numerical Methods for Accident Reconstruction and Forensic Analysis." In Head Injury Simulation in Road Traffic Accidents. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89926-8_4.

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Pang, Yang, Yan Hong Wang, and Hui Min Han. "Prediction of traffic accident based on optimal exponential smoothing model with Markov modification." In Frontier Research: Road and Traffic Engineering. CRC Press, 2022. http://dx.doi.org/10.1201/9781003305002-70.

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Xing, Yan, Wen-hao Song, Wei-dong Liu, and Shu-shida Gao. "Road Traffic Accident Prediction Based on BP Neural Network." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5615-7_46.

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Alteren, Bodil, Per Hokstad, Dagfinn Moe, and Kristian Sakshaug. "A Barrier Model for Road Traffic Applied to Accident Analysis." In Probabilistic Safety Assessment and Management. Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_576.

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Tiwari, Prayag, Sachin Kumar, and Denis Kalitin. "Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6430-2_31.

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Maharatna, Arup. "In the Name of ‘Accident’? India’s Road Traffic Deaths and Injuries." In India’s Perception, Society, and Development. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1017-7_16.

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Lee, Yu-Sheng, and Rung-Ching Chen. "Enhancing Traffic Accident Detection with YOLOv5 in Smart City Road Monitoring." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-8892-0_28.

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Guzek, Marek. "Driver’s Reaction Time in the Context of an Accident in Road Traffic." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27687-4_19.

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Conference papers on the topic "Road Traffic Accident (RTA)"

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Yu, Yue, and Zhi Chen. "Ensemble learning-based prediction of road traffic accident severity." In International Conference on Smart Transportation and City Engineering (STCE 2024), edited by Zhengang Feng and Miroslava Mikusova. SPIE, 2025. https://doi.org/10.1117/12.3060632.

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Cheng, Tong. "Research on the road traffic accident prediction based on SARIMA-LSTM model." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054553.

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Khatoon, Amna, Asad Ullah, Ishfaq Ahmed, Ayesha Aslam, Mardeni Bin Roslee, and Shabeer Ahmad. "Enabling Smart Road Safety: Constrained Device Utilization for Accident Prevention in Traffic Congestion." In 2024 Multimedia University Engineering Conference (MECON). IEEE, 2024. https://doi.org/10.1109/mecon62796.2024.10776191.

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Chai, Albe Bing Zhe, Bee Theng Lau, Mark Kit Tsun Tee, and Chris McCarthy. "R-TAP: A Cloud-Based Multi-Region Road Traffic Accident Severity Prediction Model." In 2024 IEEE Industrial Electronics and Applications Conference (IEACon). IEEE, 2024. https://doi.org/10.1109/ieacon61321.2024.10797326.

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Cheng, Zhongliang, Shuaiming Chen, Ximing Ji, Haipeng Shao, and Guodong Hu. "Analysis of influencing factors of road traffic accident severity based on generalized ordered model." In International Conference on Smart Transportation and City Engineering (STCE 2024), edited by Zhengang Feng and Miroslava Mikusova. SPIE, 2025. https://doi.org/10.1117/12.3060760.

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Er, Sebnem, Christo Du Toit, and Sulaiman Salau. "Cape Town road traffic accident analysis: Utilising supervised learning techniques and discussing their effectiveness." In CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/carma2022.2022.15041.

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Road traffic accidents (RTA) are a major cause of death and injury around the world. The use of Supervised learning (SL) methods to understand the frequency and injury-severity of RTAs are of utmost importance in designing appropriate interventions. Data on RTAs that occurred in the city of Cape Town during 2015-2017 are used for this study. The data contain the injury-severity (no injury, slight, serious and fatal injury) of the RTAs as well as several accident-related variables. Additional locational and situational variables were added to the dataset. Four training datasets were analysed: t
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Pugachev, I. N., D. Y. Grigorov, P. B. Skripko, and N. G. Sheshera. "Improving the Methodology for Determining Injury Rates in Road Accidents using Machine Learning - The Random Tree Method." In International scientific and practical conference “Smart cities and sustainable development of regions” (SMARTGREENS 2024). Crossref, 2025. https://doi.org/10.63550/iceip.2025.1.1.032.

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Every year in Russia there are a large number of road traffic accidents (RTA), in which more than 100 thousand people are injured and over 10 thousand die. (https://rg.ru/2023/11/18/ezhegodno-v-avtomobilnyhavariiah-gibnet-bolee-milliona-chelovek-chto-mozhet-izmenit-pechalnuiu-statistiku.html, 2023). This has an impact on the demographic and economic situation of the country. The aggravated problem forces the Government to develop various programs and strategies to improve road safety. They are primarily aimed at preventing accidents with the help of sanctions policy. But the practice of holdin
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Tayyab, Saad, Arshad Hussain, Fazal Haq, and Sarfraz Ahmed. "Policy proposal to solve road traffic accidents in Pakistan." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1197.

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The road traffic accidents (RTAs) have raised concern globally and become worsen with the passage of time that expedite issues of social exclusion and public health. There are approximately 1.35 million people involved annually in road crashes and 3,700 people died on daily basis. A ratio of happening an accident has found greater in developing countries due to govern of their socio-economic factors. It would contribute in long-lasting cost of pain and sufferings at micro to macro level at large. Pakistan has been experiencing the same with an annual trend of increase in RTAs. There are many d
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Busarin, E., R. Korablev, S. Busarina, S. Vnukova, D. Zhaivoronok, and R. Spodarev. "INCREASING THE SAFETY OF TRAFFIC OF INDIVIDUAL MOBILITY VEHICLES AND POSSIBLE WAYS TO SOLVE THEM." In THE FUTURE OF SCIENCE: INNOVATION AND INTERDISCIPLINARY RESEARCH. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2025. https://doi.org/10.58168/fsiir2025_44-47.

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The article analyzes key problems associated with the process of operation of individual mobility vehicles (IMV) and their integration into the organization of road traffic in the Russian Federation. Shortcomings in the organization of the movement of IMV vehicles are noted and an analysis of road traffic accidents (RTA) involving IMV drivers is conducted. Conclusions were made about the need to carry out additional administrative and technical measures, which will reduce the number of accidents involving SIM in the context of the annual growth in the number and diversity of SIM brands and mod
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Singh, Aakashdeep, and Brijesh Sathian. "PA 06-6-2190 Knowledge of road traffic accident (RTA) and its risk factors among teenagers of pokhara, nepal." In Safety 2018 abstracts. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/injuryprevention-2018-safety.39.

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Reports on the topic "Road Traffic Accident (RTA)"

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Liu, Hongrui, and Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2102.

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In the US, over 38,000 people die in road crashes each year, and 2.35 million are injured or disabled, according to the statistics report from the Association for Safe International Road Travel (ASIRT) in 2020. In addition, traffic congestion keeping Americans stuck on the road wastes millions of hours and billions of dollars each year. Using statistical techniques and machine learning algorithms, this research developed accurate predictive models for traffic congestion and road accidents to increase understanding of the complex causes of these challenging issues. The research used US Accident
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Bäumler, Maximilian, and Matthias Lehmann. Generating representative test scenarios: The FUSE for Representativity (fuse4rep) process model for collecting and analysing traffic observation data. TU Dresden, 2024. http://dx.doi.org/10.26128/2024.2.

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Scenario-based testing is a pillar of assessing the effectiveness of automated driving systems (ADSs). For data-driven scenario-based testing, representative traffic scenarios need to describe real road traffic situations in compressed form and, as such, cover normal driving along with critical and accident situations originating from different data sources. Nevertheless, in the choice of data sources, a conflict often arises between sample quality and depth of information. Police accident data (PD) covering accident situations, for example, represent a full survey and thus have high sample qu
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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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4

Pourhomayoun, Mohammad. Artificial Intelligence for Pedestrian and Bicyclist Safety: Using AI to Detect Near-Miss Collisions. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2350.

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Near-Miss Collisions are events that, with a slight change in position or timing, could have resulted in a collision, which could have caused severe injury or property damage. Understanding near-miss collisions can help identify risks and potentially improve road safety. In this project, we developed an effective end-to-end system based on advanced artificial intelligence (AI) models and computer vision algorithms to detect and report near-miss collisions as an important indicator to identify and measure safety risks, especially in specific circumstances such as a right turn on a red light. Th
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CAREC Road Crash Investigation Manual. Asian Development Bank, 2025. https://doi.org/10.22617/tim250078-2.

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This manual sets out ways to improve procedures for collecting, investigating, and analyzing road crash data in the 11 Central Asia Regional Economic Cooperation (CAREC) Program countries to support informed decision-making and boost road safety. Analyzing the impact of fatal and serious road crashes which cost countries up to 5% of gross domestic product and dent development, the manual makes recommendations based on globally recognized best practices. Stressing the need for clear accident reporting and the maintenance of road safety databases, it shows how reliable data can support road safe
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