Relevant bibliographies by topics / Road accident

Contents

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

Academic literature on the topic 'Road accident'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Road accident"

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Lemke, Kerstin. "Road Safety in Tunnels." Transportation Research Record: Journal of the Transportation Research Board 1740, no. 1 (January 2000): 170–74. http://dx.doi.org/10.3141/1740-22.

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Roads in tunnels differ from comparable open-road sections in many respects. For most drivers a tunnel is an unusual driving environment in the road network that might even cause stress. A safety analysis was carried out to estimate average accident rates and accident cost rates for different cross sections of tunnels on German roads. The analysis is based on all the available accident data for German freeway and highway tunnels reported to police. Personal injury accidents and material-damage-only accidents were analyzed separately. The findings indicate that accident rates are lower for roads in tunnels. Moreover, accidents with severe personal injury and material damage are less frequent on roads in tunnels. However, the fear of a maximum credible accident still remains.
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Volchatova, I. V. "ACCIDENT RATE AND VICTIMS OF ROAD TRAFFIC IN A BIG CITY." World of Transport and Transportation 15, no. 4 (August 28, 2017): 202–13. http://dx.doi.org/10.30932/1992-3252-2017-15-4-18.

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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).ABSTRACT Based on the statistics of road accidents, an analysis of accident and injury rates on the roads of Irkutsk was carried out. It is shown that, for the most part, the causes of road accidents are violation of traffic rules by drivers and pedestrians, unsatisfactory road conditions. It was revealed that the greatest number of accidents occurs in the summer-autumn period. Most often, vehicle collisions and pedestrian collisions are recorded. About 40 % of road accidents with victims are committed in the foci of accident rate, the distribution of which directly depends on density of settlement of the territory and the functional specifics of the city’s administrative units. Keywords: motor transport, road traffic accident, accident rate on roads, foci of accident, severity of accident consequences, road safety.
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Zhang, Han Xin. "Analysis on Affection and Dissemination of Road Traffic Accidents." Advanced Materials Research 468-471 (February 2012): 200–203. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.200.

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Analysis for the road traffic accident is the dissemination of summary analysis of road traffic accidents, all types of traffic into the causes and recommends a system can reduce the effective theory of road traffic accidents. Road traffic system is a person, motor vehicles, the combined effect of the environment from the system. Road traffic safety depends on people, vehicles, roads, environment and road traffic management in all aspects of an integrated system for co-ordination. Characteristics for the occurrence of traffic accidents, road traffic accident on an analysis and research of the impact-spread of road traffic accident, to investigate the microscopic properties of a traffic accident on the traffic flow, emissions, noise impact and the dissemination of the law, analyzing the past, the scene of the accident the speed of other vehicles and drivers of the physical distribution psychological reaction to speed up the disposal of road traffic accidents, to reduce road traffic accidents on traffic flow and avoid the second derivative disasters, the elimination of road accident black spots, build a smart urban road traffic command system, to reduce pollutants in automobile exhaust emissions to protect the natural ecological environment, thus contributing to building a harmonious ecological city transport network.
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Wang, Jianjun, Sai Wang, Xueqin Long, Dongyi Li, Chicheng Ma, and Peng Li. "Ellipse-Like Radiation Range Grading Method of Traffic Accident Influence on Mountain Highways." Sustainability 14, no. 21 (October 23, 2022): 13727. http://dx.doi.org/10.3390/su142113727.

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To improve the efficiency of accident treatment on mountain highways and reduce the degree of disruption from traffic accidents, the grading method of the ellipse-like radiation range of traffic accident impact is proposed. First, according to the propagation law of traffic accidents, the general function of mountain highways affected by traffic accidents was constructed based on the Gaussian plume model. Then, based on the gravity field theory, the influence of the accident source point on the accident road was analyzed in the aftermath of a supposed accident. Additionally, considering the cascading failure of the road network, the influence of the accident-intersecting roads was demarcated by the cascading failure load propagation function. Based on this analysis, the ellipse-like radiation range models of traffic accidents on the accident road and the intersecting roads were proposed, respectively. Next, the adjustment parameter was further introduced to incorporate the different levels of influence of traffic accidents on the surrounding road network into the model, and the grading impacts of the accident on the potentially utilized opposite lane were discussed. Finally, according to the queuing theory model, simulation design, and portability analysis, the accuracy of the ellipse-like radiation range grading model was verified. The research results show that, compared with queuing theory and simulation results, the error of the grading model of the ellipse-like radiation range affected by traffic accidents was within a reasonable range; that is, the model can reasonably quantify the difference of traffic accident propagation on the accident road and the intersecting roads. Moreover, the heterogeneity of traffic accident propagation was verified by taking the non-occupied opposite lanes as an example. The grading method of influence radiation range utilized for traffic accidents on mountain highways can quickly provide corresponding auxiliary decision support for accident rescue within varying influence ranges.
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Bondar, Tetiana, Olga Belenchuk, Yevhen Tepliuk, and Oleksandr Pyna. "ACCIDENT ANALYSIS – THE WAY TO EFFECTIVE TRAFFIC SAFETY MANAGEMENT ON ROADS." Avtoshliakhovyk Ukrayiny, no. 2 (266) ’ 2021 (June 20, 2021): 46–52. http://dx.doi.org/10.33868/0365-8392-2021-2-266-46-52.

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Road safety management begins with a detailed analysis of accidents, which is reflected in Article 24 of the Law of Ukraine “On Road Traffic” which states that when performing repairs and maintenance of roads, streets and railway crossings road maintenance organizations in the first place should take measures for road safety on the basis of accounting and analysis of road accidents, results of inspections and surveys of roads, streets and railway crossings, and especially in emergency and dangerous areas and in places of concentration of road accidents. The problem of reducing the accident rate and reducing the number of victims of road accidents during the maintenance of roads has so far been solved mainly by identifying areas (places) of concentration of accidents with the development of measures to improve road conditions and improve the organization of traffic on them and conducting annual commission spring and autumn inspections of the road network by representatives of road organizations and the police. However, the areas of concentration of road accidents were not fully covered on the road network of local significance due to the lack of accurate reference of the places of accident in the accident registration cards, as well as they were not identified on the streets and roads of cities and other settlements due to the absence of any criteria for their identification and therefore the maximum efficiency from introduction of management of sites (places) of concentration of road accident isn’t reached. The article analyzes the criteria for determining the areas of concentration of accidents on public roads in different periods, examines the dynamics of the number of areas of concentration of accidents and considers other modern opportunities for effective traffic safety management, in particular, inspection (inspection) of existing roads.
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Kishore Kumar, K., Atmakuri Sravan Kumar, Sunkari Amarnadh Gupta, and Sure Venkata Naga Parvesh. "Smart alert for smart transportation." International Journal of Engineering & Technology 7, no. 1.7 (February 5, 2018): 146. http://dx.doi.org/10.14419/ijet.v7i1.7.10637.

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Road accident is mostly happened to a road user, though they happen quite often. The most unfortunate thing is that we don't learn from our mistakes on road. Most of the road users are quite well aware of the general rules and safety measures while using roads but it is only the laxity on part of road users, which cause accidents and crashes. Main cause of accidents and crashes are due to human errors. Many of the road accidents occurs in the human errors by overriding, drink and drive and don’t follow safety precautions on roads. Various national and international researchers have found these as most common behavior of Road drivers, which leads to accidents [4].So, we came up with an application to alert hospital emergency and cops. all the users can easily handle this application when accident emergency occur. In the same way we can save life of a person by occur road accident.
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Nidhi. R, Ms, and Ms Kanchana V. "Analysis of Road Accidents Using Data Mining Techniques." International Journal of Engineering & Technology 7, no. 3.10 (July 15, 2018): 40. http://dx.doi.org/10.14419/ijet.v7i3.10.15626.

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Road Accident is an all-inclusive disaster with consistently raising pattern. In India according to Indian road safety campaign every minute there is a road accident and almost 17 people die per hour in road accidents. There are different categories of vehicle accidents like rear end, head on and rollover accidents. The state recorded police reports or FIR’s are the documents which contains the information about the accidents. The incident may be self-reported by the people or recorded by the state police. In this paper the frequent patterns of road accidents is been predicted using Apriori and Naïve Bayesian techniques. This pattern will help the government or NGOs to improve the safety and take preventive measures in the roads that have major accident zones.
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Ramakrishna, Maanyam, and Bandaru Ramesh. "Identification and Mitigation of Blackspots and Implementation of An Advanced Traffic Management System on NH-216A (A Spur of National Highway-16)." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 345–56. http://dx.doi.org/10.22214/ijraset.2022.42177.

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Abstract: As the population is increasing day by day the number of vehicles is also increasing. As the number of vehicles is increasing, the number of accidents also increases. Analysis of previous data indicates that 66% of the accidents occur due to human error and 33% due to road parameters such as road and vehicle interaction, other road users, and environmental factors. Road safety has recently become a major concern in most modern societies. The identification of sites (black spots) that are more dangerous from an accident point of view can help in better scheduling road safety policies. The study includes the collection of accident data and prioritizing the accident-prone locations by using the Weighted Severity Index (WSI) method. This study includes the identification of Accidental Black Spots and improving these Accidental Black Spots by using ATMS. This project emphasizes accident studies on the National Highway-216A (Diwancheruvu to Siddantham) in East Godavari District, State of Andhra Pradesh, India. So the main aim of this study is, therefore, to identify the major accident black spots on National Highway -16 and mitigation of Accidental Black Spots by using Advanced Traffic Management System. Keywords: Accident, National Highway, Black Spots, Advanced Traffic Management System (ATMS), Weighted Severity Index (WSI).
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Sun, Chuan Jiao, Ru Yue Bai, and Yuan Yuan Yu. "Regression Analysis of Rural Road Traffic Accidents Causes." Applied Mechanics and Materials 97-98 (September 2011): 1042–45. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.1042.

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9238 traffic accidents data are collected in rural road of China. Through the data analysis, the main causes of rural road traffic accident are presented. The external environment, the participant features, road features and accident characteristics are involved. The regression analysis in SPSS is applied to find the relationship between the accident features. Overall, the rural road traffic accident was mainly due to in the rural area there are mass travel mode, lower grade roads, poorer safety awareness of traveler and the road is lack of traffic safety facilities and so on.
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Rudenko, D., A. Renkas, and V. Tovaryansky. "ASSESSMENT OF THE IMPACT OF ROAD CONDITIONS ON ACCIDENTS WITH THE APPLICATION OF THE MULTIFACTOR MODEL." Bulletin of Lviv State University of Life Safety 24 (January 5, 2022): 33–39. http://dx.doi.org/10.32447/20784643.24.2021.04.

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Introduction. The process of an accident is complex because it depends on a large number of factors, the rela-tionship of which is sometimes not obvious enough. The process of a traffic accident is influenced by such conditions as: permanent (for example road conditions) and accidental (weather conditions, technical condition of the vehicle, psycho-physiological condition of the driver). In other words, road conditions are changing over a certain period: the level of road surface and road grip is deteriorating, roads are being reconstructed. However, the time during which these changes occur is incomparably greater than the time of changes in weather conditions, the technical condition of vehicles, the psycho-physiological condition of the driver. Therefore, if we are talking about a specific road accident or a group of road accidents committed in a relatively short time, then such a question is justified.Purpose. The work aimed to study the method of accident coefficients with the introduction of additional cost coefficients in this method, which allows establishing those sections of roads on which measures should be taken to improve conditions or reconstruction of individual road sections in the first place.Methods. During the research, a multifactor model of the influence of road conditions on the accident rate of road sections was used. Results. The paper found that the parameter αі is an indicator of the level of influence of the i-th factor (private accident rate) on the final characteristic of the accident. Calculations for many variants of road sections of different cate-gories show that the range of change of parameter αi is quite wide and depends on the combination of road conditions. Numerical values can both increase the weight share of the i-th factor in the final accident, and reduce it.Conclusion. It is proposed to adopt the method of accident coefficients as the basis of the statistical model of mutual influence of road conditions. Express a multifactor model of the influence of road conditions on the accident rate of road sections by a multiplicative functional dependence and obtain the parameters of the statistical relationship between the factors (αі та А0). Interpret the parameter А0 as part of the final accident rate, independent of road conditions, or not taken into account by private accident rates. And the parameter αі - as the degree of influence of the i-th factor on the final accident rate.
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Dissertations / Theses on the topic "Road accident"

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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 road accident problem in the Yemen. This can be made by investigation of the real dimensions of the road accident problem. This includes the identification of the shortcomings in road accident data, the cost of road accidents and modelling road accident fatalities.
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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.
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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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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Shuhaibar, Nabeel Khalil. "Road accidents in a developing country : characteristics and causes of accident rates in Kuwait." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/8185.

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Arndt, Owen Kingsley. "Relationship between unsignalised intersection geometry and accident rates." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15815/1/Owen_Arndt_Thesis.pdf.

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The aim of this research is to determine the effect of unsignalised intersection geometry on the rates of the various types of accidents occurring at unsignalised intersections. A literature review has identified that there is little consistency between the results of previous studies. Some studies found that particular parameters had an opposite effect to what was expected. With this in mind, the research identified reasons for these results and developed two basic approaches to mitigate some of the problems with multi-factor type studies. These approaches are 'maximise the efficiency of data collection' and 'develop techniques for analysing less than perfect data'. A database consisting of 206 unsignalised intersection sites from throughout Queensland was used for analysis. The outcome of this research confirms the validity of several of the current design standards for unsignalised intersections, in addition to identifying new engineering procedures.
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Arndt, Owen Kingsley. "Relationship Between Unsignalised Intersection Geometry and Accident Rates." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15815/.

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The aim of this research is to determine the effect of unsignalised intersection geometry on the rates of the various types of accidents occurring at unsignalised intersections. A literature review has identified that there is little consistency between the results of previous studies. Some studies found that particular parameters had an opposite effect to what was expected. With this in mind, the research identified reasons for these results and developed two basic approaches to mitigate some of the problems with multi-factor type studies. These approaches are 'maximise the efficiency of data collection' and 'develop techniques for analysing less than perfect data'. A database consisting of 206 unsignalised intersection sites from throughout Queensland was used for analysis. The outcome of this research confirms the validity of several of the current design standards for unsignalised intersections, in addition to identifying new engineering procedures.
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Kannis-Dymand, Lee Robert James. "Psychological distress following a road accident : Investigation of two neglected road-user groups." Thesis, University of Canterbury. Psychology, 2002. http://hdl.handle.net/10092/6800.

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Road traffic accidents are common sources of trauma experienced by adults, adolescents, and children. Trauma may arise as a direct result of physical injury, may occur due to experiencing perceived threat to one's life or physical self, or may develop due to witnessing death or injury to others. While there has been growing interest in the development of psychological distress, including post-traumatic stress disorder (PTSD), phobias, and adjustment disorder, among survivors of road accidents, there has been no systematic investigation of cyclists involved in road accidents and little specific research into child and adolescent road accident victims. In regard to cyclists, the first of these under-researched groups, study one investigated the occurrence of psychological distress in New Zealand adult cycling victims. In 1999, 619 cyclists were injured on New Zealand roads, with 86 of these accident victims from the Christchurch region. A sample of 27 Christchurch adult cyclists, who had been involved in an accident with a motor vehicle, at least one month prior to the interview, completed a structured interview and number of questionnaires. Results indicated that one third of the participants suffered ongoing psychological distress following their accident. Implications for mental health, personal wellbeing, and potential costs to the community are discussed. Study two examined the occurrence of psychological distress in New Zealand child and adolescent road accident survivors. In 2000, 1216 under-15 year-olds were injured on New Zealand roads. A national sample of 19 young people (8-17 year-olds) and their parents completed a variety of assessment measures, including a structured clinical interview in 16 cases. Of the 16 interviewed child/adolescent survivors, 19% were diagnosed with PTSD, and 69% exhibited some significant, enduring psychological distress following their accident. Implications for mental health, educational attainment, family adjustment, and personal wellbeing are discussed. Part three considered the need for secondary prevention for young road accident victims, including as a priority, means for the identification and recognition of young, road accident survivors who are at risk of developing psychopathology following a road accident. To this end, a draft of a screening guide to enable teachers and medical practitioners to identify these young at risk, road accident victims was developed.
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Breen, Lauren Jennifer. "Silenced voices experiences of grief following road traffic crashes in Western Australia /." Connect to thesis, 2006. http://portal.ecu.edu.au/adt-public/adt-ECU2007.0026.html.

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Huang, Yu-Hsing. "Having a New Pair of Glassess : Applying Systemic Accident Models on Road Safety." Doctoral thesis, Linköpings universitet, CSELAB - Cognitive Systems Engineering Laboratory, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8189.

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The main purpose of the thesis is to discuss the accident models which underlie accident prevention in general and road safety in particular, and the consequences of relying on a particular model have for actual preventive work. The discussion centres on two main topics. The first topic is whether the underlying accident model, or paradigm, of traditional road safety should be exchanged for a more complex accident model, and if so, which model(s) are appropriate. From a discussion of current developments in modern road traffic, it is concluded that the traditional accident model of road safety needs replacing. An analysis of three general accident model types shows that the work of traditional road safety is based on a sequential accident model. Since research in industrial safety has shown that such model are unsuitable for complex systems, it needs to be replaced by a systemic model, which better handles the complex interactions and dependencies of modern road traffic. The second topic of the thesis is whether the focus of road safety should shift from accident investigation to accident prediction. Since the goal of accident prevention is to prevent accidents in the future, its focus should theoretically be on how accidents will happen rather than on how they did happen. Despite this, road safety traditionally puts much more emphasis on accident investigation than prediction, compared to areas such as nuclear power plant safety and chemical industry safety. It is shown that this bias towards the past is driven by the underlying sequential accident model. It is also shown that switching to a systemic accident model would create a more balanced perspective including both investigations of the past and predictions of the future, which is seen as necessary to deal with the road safety problems of the future. In the last chapter, more detailed effects of adopting a systemic perspective is discussed for four important areas of road safety, i.e. road system modelling, driver modelling, accident/incident investigations and road safety strategies. These descriptions contain condensed versions of work which has been done in the FICA and the AIDE projects, and which can be found in the attached papers.
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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.
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 accident data, are the identification of hazardous locations, the ranking of hazardous locations and the evaluation of remedial measure effectiveness. The efficiency of a road safety remedial programme can be enhanced by using appropriate methodologies to measure safety, identify and rank hazardous locations and to determine the effectiveness of road safety remedial measures. There are a number of methodologies available to perform these tasks, although some perform much better than other. Methodologies based on the Empirical Bayesian approach generally provide better results than the Conventional methods. Bayesian methodologies are not often used in South Africa. To do so would require the additional training of students and engineering professionals as well as more research by tertiary and other research institutions. The efficiency of a road safety remedial programme can be compromised by using poor quality accident data. In South Africa the quality of accident data is generally poor and should more attention be given to the proper management and control of accident data. This thesis will report on, investigate and evaluate Bayesian and Conventional accident data analysis methodologies.
AFRIKAANSE OPSOMMING: Die doel van 'n padveiligheidsverbeteringsprogram is om op die mees koste effektiewe manier die veiligheid van onveilige padnetwerkelemente te verbeter deur die toepassing van ingenieursmaatreëls. Aangesien padveiligheid direk verband hou met verkeersongelukke vereis die koste effektiewe implementering van 'n padveiligheidsverbeteringsprogram die doelgerigte en korrekte ontleding van ongeluksdata. Om 'n padveiligheidsverbeteringsprogram te implementeer word die ontleding van ongeluksdata verlang vir die identifisering en priortisering van gevaarkolle, sowel as om die effektiwiteit van verbeteringsmaatreëls te bepaal. Die koste effektiwiteit van 'n padveiligheidsverbeteringsprogram kan verbeter word deur die regte metodes te kies om padveiligheid te meet, gevaarkolle te identifiseer en te prioritiseer en om die effektiwiteit van verbeteringsmaatreëls te bepaal. Daar is verskeie metodes om hierdie ontledings te doen, alhoewel sommige van die metodes beter is as ander. Die 'Bayesian' metodes lewer oor die algemeen beter resultate as die gewone konvensionele metodes. 'Bayesian' metodes word nie. in Suid Afrika toegepas nie. Om dit te doen sal addisionele opleiding van studente en ingenieurs vereis, sowel as addisionele navorsing deur universiteite en ander navorsing instansies. Die gebruik van swak kwaliteit ongeluksdata kan die integriteit van 'n padveiligheidsverbeteringsprogram benadeel. Die kwaliteit van ongeluksdata in Suid Afrika is oor die algemeen swak en behoort meer aandag gegee te word aan die bestuur en kontrole van ongeluksdata. Die doel van hierdie tesis is om verslag te doen oor 'Bayesian' en konvensionele metodes wat gebruik kan word om ongeluksdata te ontleed, dit te ondersoek en te evalueer.
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Books on the topic "Road accident"

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Stockton-on-Tees (England). Technical Services Department. Road accident review. Stockton-on-Tees: Stockton-on-Tees Borough Council, 1997.

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East Sussex (England). Highways and Transportation Department. Road accident review. Lewes: East Sussex County Council, 1991.

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Dorset (England). Transportation and Engineering Department., ed. Road accident information. Dorchester: Dept. of Transportation and Engineering, Dorset County Council, 1988.

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Road accident statistics. Adelaide, S. Aust: Rumsby Scientific Pub., 1987.

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East Sussex (England). Highways and Transportation Department. Road accident review. Lewes: East Sussex County Council, 1992.

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East Sussex (England). Highways and Transportation Department. Road accident review. Lewes: East Sussex County Council, 1990.

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Cleveland (England). Department of Environment, Development & Transportation. Road accident review. Middlesbrough: Cleveland County Council, 1996.

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California. Division of Traffic Engineering., ed. Accident data on California state highways: (road miles, travel, accidents, accident rates). Sacramento, Calif: The Division, 1985.

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

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

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Book chapters on the topic "Road accident"

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Broughton, Jeremy. "Road accident statistics." In The Aftermath of Road Accidents, 15–30. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003209232-3.

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Vanitha, S. "Road Accident Informer System." In Advances in Intelligent Systems and Computing, 181–87. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6614-6_18.

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Burton, Lindy. "Road Accident Involvement in Children." In Vulnerable Children, 13–16. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003287865-3.

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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, 137–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57248-7_12.

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Singh, Rajesh, Anita Gehlot, Raghuveer Chimata, Bhupendra Singh, and P. S. Ranjit. "Accident Monitoring System." In Internet of Things in Automotive Industries and Road Safety, 85–96. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338635-5.

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Suman, Amrit, Chiranjeev Kumar, and Preetam Suman. "Prevent Road Accident Using Intelligent Device." In Advances in Intelligent Systems and Computing, 35–44. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1510-8_4.

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Lavanya, Y., P. BhagyaSri, P. BhuvanaSri, and K. Noha Namratha. "Road Accident Detection and Indication System." In Lecture Notes in Electrical Engineering, 1–8. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5936-3_1.

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Ishikawa, Michio. "Road to Decommissioning." In A Study of the Fukushima Daiichi Nuclear Accident Process, 195–203. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55543-8_7.

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Adshead, Gwen. "Psychological services for road accident victims and their relatives." In The Aftermath of Road Accidents, 217–23. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003209232-22.

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Wheat, Kay, and Michael Napier. "Claiming damages for psychiatric injury following a road accident." In The Aftermath of Road Accidents, 123–34. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003209232-13.

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Conference papers on the topic "Road accident"

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Hohlov, A. A. "Road accident scene inspection." In Scientific Trends: Law. ЦНК МОАН, 2019. http://dx.doi.org/10.18411/spc-20-07-2019-05.

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Tumavičė, Aja, Juratė Vitkienė, Svaja Kaniušėnienė, Igoris Kravcovas, and Ineta Lingytė. "The Key Issues of Road Design Found from Road Safety Inspections and Road Safety Audits." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.150.

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In order to reduce accident rate on roads and streets more and more various road safety measures are being imple- mented each year. Nevertheless, road safety problem exists in most countries. For example, even though accident rate in Lith- uania was almost halved (6372 to 3161 yearly accidents) from years 2004 to 2015, fatality rate is still quite high – 8.3 per 100000 people. New regulations, approved in 2008, dictate the need of carrying out road safety audits and road safety inspec- tions for all road and street design projects. This paper presents most common road design errors and methods of fixing those errors based on Vilnius Gediminas Technical University Road Research Institute road safety auditors’ experience from years 2011 to 2016. Most common safety problems are organized and presented in groups ordered by their importance. Recommen- dations on how to improve road safety audit and inspection procedures in the future are formulated, as well as suggestions on improving road project design stage by taking most common flaw priority into consideration.
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Mehta, Katha, Shagun Jain, Amisha Agarwal, and Archana Bomnale. "Road Accident Prediction Using Xgboost." In 2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). IEEE, 2022. http://dx.doi.org/10.1109/icetci55171.2022.9921367.

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Bahiru, Tadesse Kebede, V. S. Manjula, Tadesse Birara Akele, Engdaw Ayalew Tesfaw, and Tadesse Destaw Belay. "Mining Road Traffic Accident Data for Prediction of Accident Severity." In 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2023. http://dx.doi.org/10.1109/idciot56793.2023.10053409.

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Shubham, A., K. Deogharia, A. Bundela, A. Chaturvedi, L. Sharma, S. Srivastava, and A. Kshitij. "Smart Emergency Response System for Road Accidents with Automatic Accident Detection." In 2nd Smart Cities Symposium (SCS 2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.0193.

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Rimstad, Rune, and Arne Lindstad. "Health Related Factors in Traffic Accident Investigation." In Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100610.

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The aim of the study is to evaluate road traffic accident analyses reports as a means to improve the system of medical driver examinations. Qualitative analyses was made of accident reports from the Norwegian Public Roads Administration region East and South throughout 2008 and 2009. Only 23 of 235 reports contained information on driver health. Many different diagnoses were represented. Intoxication was a major contributor to accidents. Straight-ahead accidents is discussed as a field of further investigations. In conclusion, the accident analyses reports are not a good source of information on drivers’ health. The system needs wider authorities and mandate to be an effective contribution to public health work in Norway.
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LAARAJ, Nassima, and Fouad JAWAB. "Road accident modeling approaches: literature review." In 2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2018. http://dx.doi.org/10.1109/logistiqua.2018.8428276.

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Matta, Nada, Sophie Loriette, Mohamed Sediri, Jean Marc Nigro, Yann Barloy, Jean Pierre Cahier, and Alain Hugerot. "Representing Experience on Road Accident Management." In 2012 IEEE 21st International Workshop On Enabling Technologies: Infrastructure For Collaborative Enterprises (WETICE). IEEE, 2012. http://dx.doi.org/10.1109/wetice.2012.38.

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M, Bharath Kumar, Abdhul Basit, Kiruba MB, Giridharan R, and Keerthana SM. "Road Accident Detection Using Machine Learning." In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2021. http://dx.doi.org/10.1109/icscan53069.2021.9526546.

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Patil, Jayesh, Mandar Prabhu, Dhaval Walavalkar, and Vivian Brian Lobo. "Road Accident Analysis using Machine Learning." In 2020 IEEE Pune Section International Conference (PuneCon). IEEE, 2020. http://dx.doi.org/10.1109/punecon50868.2020.9362403.

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Reports on the topic "Road accident"

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Liu, Hongrui, and Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, November 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 Accidents data consisting of 49 variables describing 4.2 million accident records from February 2016 to December 2020, as well as logistic regression, tree-based techniques such as Decision Tree Classifier and Random Forest Classifier (RF), and Extreme Gradient boosting (XG-boost) to process and train the models. These models will assist people in making smart real-time transportation decisions to improve mobility and reduce accidents.
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Sarofim, Samer, and Aly Tawfik. Creating Safer Communities for the Use of Active Transportation Modes in California: The Development of Effective Communication Message Strategy for Vulnerable Road Users. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2021.2030.

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Despite increased efforts to improve safety in recent years (e.g., the Focus Cities Program in California), California continues to have a high rate of pedestrian and bicyclist fatalities. Currently, the state currently lacks a cohesive messaging strategy to improve behaviors related to pedestrian and cyclist traffic safety practices. To fulfill this need, this research showcases the differential effect of message framing on attitudes and intended behaviors related to pedestrian and cyclists traffic safety practices. This project investigated factors & risky behaviors contributing to accidents involving vulnerable road users, preventive measures to decrease accidents involving vulnerable road users, and more. The qualitative analysis presented a significant lack of coherent, long-term, evidence-based communication strategies that aimed at enhancing the safety of vulnerable road users in California. Quantitatively, this research also experimentally investigated various messages, employing different time horizons and regulatory focus message framings. Findings indicate that the messages with a limited time horizon tend to be associated with better safety perceptions and attitudes than messages with an expansive time horizon. California transportation authorities, professionals, and advocacy groups will be able to use this information to effectively allocate the communication effort and spending to induce attitudinal and behavioral change that can impact the safety of active transportation modes.
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Sarofim, Samer, and Aly Tawfik. Creating Safer Communities for the Use of Active Transportation Modes in California: The Development of Effective Communication Message Strategy for Vulnerable Road Users. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2022.2030.

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Despite increased efforts to improve safety in recent years (e.g., the Focus Cities Program in California), California continues to have a high rate of pedestrian and bicyclist fatalities. Currently, the state currently lacks a cohesive messaging strategy to improve behaviors related to pedestrian and cyclist traffic safety practices. To fulfill this need, this research showcases the differential effect of message framing on attitudes and intended behaviors related to pedestrian and cyclists traffic safety practices. This project investigated factors & risky behaviors contributing to accidents involving vulnerable road users, preventive measures to decrease accidents involving vulnerable road users, and more. The qualitative analysis presented a significant lack of coherent, long-term, evidence-based communication strategies that aimed at enhancing the safety of vulnerable road users in California. Quantitatively, this research also experimentally investigated various messages, employing different time horizons and regulatory focus message framings. Findings indicate that the messages with a limited time horizon tend to be associated with better safety perceptions and attitudes than messages with an expansive time horizon. California transportation authorities, professionals, and advocacy groups will be able to use this information to effectively allocate the communication effort and spending to induce attitudinal and behavioral change that can impact the safety of active transportation modes.
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Lombardo, N. J., D. D. Lanning, and F. E. Panisko. Full-length fuel rod behavior under severe accident conditions. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/7042819.

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Fletcher, John. Rapid desk-based study: The economic impact of road traffic accidents and injuries in developing countries. Evidence on Demand, August 2014. http://dx.doi.org/10.12774/eod_hd.june2014.fletcher.

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Siefken, L. J. Preliminary design report for modeling of hydrogen uptake in fuel rod cladding during severe accidents. Office of Scientific and Technical Information (OSTI), August 1998. http://dx.doi.org/10.2172/296734.

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Siefken, Larry James. Preliminary Design Report for Modeling of Hydrogen Uptake in Fuel Rod Cladding During Severe Accidents. Office of Scientific and Technical Information (OSTI), February 1999. http://dx.doi.org/10.2172/911504.

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Siefken, Larry James. Calculation of Hydrogen and Oxygen Uptake in Fuel Rod Cladding During Severe Accidents Using the Integral Diffusion Method - Final Design Report. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/911489.

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Siefken, L. J. Calculation of hydrogen and oxygen uptake in fuel rod cladding during severe accidents using the integral diffusion method -- Preliminary design report. Office of Scientific and Technical Information (OSTI), February 1999. http://dx.doi.org/10.2172/751980.

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Siefken, L. J. Calculation of hydrogen and oxygen uptake in fuel rod cladding during severe accidents using the integral diffusion method -- Final Design Report. Office of Scientific and Technical Information (OSTI), May 1999. http://dx.doi.org/10.2172/752085.

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