Relevant bibliographies by topics / Analysis of road accidents

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

Academic literature on the topic 'Analysis of road accidents'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Analysis of road accidents"

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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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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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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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Abdukhalilovich, Ikromov Ikboljon, and Akhunov Javlon Abdujalilovich. "Analysis Of Road Accidents Involving Children." American Journal of Engineering And Techonology 02, no. 10 (October 30, 2020): 25–27. http://dx.doi.org/10.37547/tajet/volume02issue10-05.

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The article presents the analysis of statistical data of drilling road accidents with children. Proposals are given for the development of new technologies for the prevention of injuries to children in road traffic accidents, as well as training them in road safety rules and ensuring the safety of pedestrians on the roads around educational institutions.
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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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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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Meer, Jaffar Hussian, Sukhdeep Singh, and Komalpreet Singh. "Road Accidental Analysis and Identify the Black Spot." Volume 5 - 2020, Issue 8 - August 5, no. 8 (September 1, 2020): 871–76. http://dx.doi.org/10.38124/ijisrt20aug606.

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The increase in motor vehicles accompanied with expansion of roads has brought with it the challenge of addressing the adverse influence of road traffic accidents. Road incidents are a nationwide cataclysm with ever increasing trend which incurs a human health and development challenge and highly affect the human capital development of every nation. A mortality rate database (WHO, 2002) assures that India has highest number of accidents. Accident Black Spots are those locations on the road which have higher severity of accident either in terms of numbers or in terms of injuries. In this paper, efforts have been made to identify the location of accident black spots on national highway from singhpora pattan to panthachowk srinagar.The present era accidents are contributing major deaths worldwide due to increase in vehicular traffic.It has been estimated that every year 1.38 lakh lose their limbs and 6 lakh people get injured in road accidents in india.our country incurs a loss of 58000 crore each year due to road accidents. The most used roads to travel from jalandhar in punjab to uri in kashmir is NH-1A.The old name for NH-44 is NH-1A which was replaced after renumbering of all national highways in year 2010. In this report,the analysis includes study of some major accident spots or busy intersections in the NH-1A in between Pantha chowkh Srinagar to Singhpora Pattan.The study includes visiting sites,collecting required data for analysis and derives the results and remedies from what we had got. This report will be containing the material surveyed,pictures of road at different locations ,road details,figures,material for understanding of the unknown and finally the conclusion
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Ismael, Karzan S., and Noorance A. Razzaq. "Traffic Accidents Analysis on Dry and Wet Road Bends Surfaces in Greater Manchester-UK." Kurdistan Journal of Applied Research 2, no. 3 (August 27, 2017): 284–91. http://dx.doi.org/10.24017/science.2017.3.51.

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Road accidents becomes global health and safety issues because of the gradual increase in the number of injuries and fatalities. In the UK, road accidents due to weather conditions has been one of the traffic safety challenges for researchers as well as drivers particularly in Greater Manchester. This is because of its influence on driver behaviour approaching traffic lights on the road bends. Hence, to better understand driver behaviour, this paper presents various driving behaviour on wet and dry road conditions. Data were obtained from police reports of road accidents at hazardous locations in Greater Manchester between 2011 and 2015. The reported data covers information regarding: Accidents, Vehicle, and Casualties. The obtained data was used to examine how road surface is associated with road accidents by using Chi-Square statistical test. The analysis showed that road surface significantly contributed to accidents at bend roads. Moreover, drivers’ behaviour was investigated as they can be expected to have a significant impact on accident occurrence. Finally, the main goal is that these results might reflect the safety issue at bend roads.
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Nassar, S. A., F. F. Saccomanno, and J. H. Shortreed. "Road accident severity analysis: a micro level approach." Canadian Journal of Civil Engineering 21, no. 5 (October 1, 1994): 847–55. http://dx.doi.org/10.1139/l94-090.

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A comprehensive understanding of the relationship between road accident occurrence and severity of consequences permits the formulation of safety measures that are most cost-effective. A disaggregate model of road accident severity based on sequential logit models is presented. The sequential binary approach is able to account for the dependency between different levels of severity. Factors that affect the level of damage experienced by individuals involved in road accidents include the following: accident dynamics, seating position, vehicle condition, vehicle size, driver condition, and driver action. Separate models are calibrated for three accident situations: single-vehicle accidents, two-vehicle accidents, and multi-vehicle accidents. Ontario road accident police reports are used to calibrate and validate the models. The results of a simple application of the models to a safety protocol involving the effectiveness of passenger restraint devices are presented. Key words: road accident severity, personal injury, logit.
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Kustra, Wojciech, and Kazimierz Jamroz. "Analysis of Factors Influencing the Density of Fatalities on National Roads in Poland." Journal of Konbin 13, no. 1 (January 1, 2010): 221–34. http://dx.doi.org/10.2478/v10040-008-0150-3.

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Analysis of Factors Influencing the Density of Fatalities on National Roads in PolandIn Poland 20% of the total number of accidents occur on the national roads, which constitute 7% of the length of all roads. In the case of fatalities this share is significantly higher as it constitutes up to 36% of the total casualties. In accordance with the EU Directive (Journal of Laws EU L. 319/59) the level of road traffic safety should be raised by targeting investment on the most dangerous road sections. Finding the dependence between road and traffic factors and the number of accidents and casualties of road accidents may be helpful in predicting safety levels and selecting road traffic safety improvement measures. The paper presents the experience of other countries and preliminary tests results of the impact of the selected factors on the density and the number of road accident fatalities on the national roads in Poland.
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Dissertations / Theses on the topic "Analysis of road accidents"

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Arampamoorthy, Haran. "Analysis of spatial distributions of road accidents." Thesis, University of Canterbury. Civil Engineering, 2005. http://hdl.handle.net/10092/4832.

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Traffic accidents result in life and financial loss to the society. In developing countries traffic fatalities are comparable to other leading causes of death. The need for the analysis of the spatial distribution of traffic accidents, as an aid to select the most appropriate type of accident reduction programme (e.g. site, route and area plans) and assessing the effectiveness of such plans after implementation, is very important. The current practice (e.g. visual examination) for assessing the spatial distribution of accidents is reviewed. In this thesis, various methods for the statistical analysis of spatial distributions of accidents (including quadrat and nearest - neighbour methods) are reviewed and further improvements are described. Accidents are random events subject to both temporal and spatial variation. The basic variables for accident analysis are; distance and direction of accident locations in terms of North and East co-ordinates, azimuth, and the year of the accident. A new method for analysing the spatial pattern is proposed, whereby detection of a particular pattern will indicate which type of accident reduction programme is most appropriate. The method distinguishes the spatial distribution (point cluster, line cluster, area cluster or a completely spatially random distribution) of accidents in different types of road networks (regular or irregular and dense or sparse). The method can also help assessment of the changes in spatial distributions of accidents.
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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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Ayati, Esmail. "Rural road accidents in Iran: analysis, comparison and the cost." Thesis, Aston University, 1988. http://publications.aston.ac.uk/14282/.

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In the general introduction of the road-accident phenomenon inside and outside Iran, the results of previous research-works and international conferences and seminars on road-safety have been reviewed. Also a sample-road between Tehran and Mashad has been investigated as a case-study. Examining the road-accident data and iriformation, first: the information presented in road-accident reportforms in developed countries is discussed and, second: the procedures for road-accident data collection in Iran are investigated in detail. The data supplied by Iran Road-Police Central Statistics Office, is analysed, different rates are computed, due comparisons with other nations are made, and the results are discussed. Also such analysis and comparisons are presented for different provinces of Iran. It is concluded that each province with its own natural, geographical, social and economical characteristics possesses its own reasons for the quality and quantity of road-accidents and therefore must receive its own appropriate remedial solutions. The question~ of "what is the cost of road-accidents" , "why and how evaluate the cost", "what is the appropriate way of approach to such evaluation" are all discussed and then "the cost of road-accidents in Iran" based on two different approaches: "Gross National Output"and"court award" is computed. It is concluded that this cost is about 1.5 per cent of the country's national product. In Appendix 3 an impressive example is given of the trend of costs and benefits that can be attributed to investment in road-safety measures.
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Odero, Wilson Washington Omole. "Road traffic injuries and alcohol in Eldoret, Kenya : epidemiology and policy analysis." Thesis, London School of Hygiene and Tropical Medicine (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251919.

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Sheikh, Mohammad Mizanur Rahman. "A statistical analysis of road traffic accidents and casualties in Bangladesh." Thesis, Edinburgh Napier University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506322.

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A statistical analysis was conducted for road traffic accidents and associated casualties in Bangladesh. This was undertaken in order to assist the policymakers to take appropriate steps to be reduced the road traffic accidents and the associated casualties. Secondary data (collecting from Bangladesh government publications) were explored, analysed and modelled statistically. An exploration was undertaken using the averages (per annum) of rates of KSI/ fatal casualty, accident and involved vehicles applying Bar-charts. In addition, annual time series data were investigated using trend lines. A detailed analysis of variances was conducted using the rates (per 10,000 populations) of BRTA traffic accident and casualty data applying mainly non-parametric tests. Time series; one-way and two /three-way classified data are analysed applying linear regression model; Mann-Whitney or Kruskal-Wallis tests and Univariate regression model respectively. Finally, modelling of two/ three-way data was conducted using the frequencies of fatal casualty, fatal accident and involved vehicles applying Poisson regression. The most significant findings from this research were that pedestrians are highly involved in the casualty figures. Fatal hit pedestrian is the main collision type accident. Maximum fatal accidents occur at out of junction. Cities have higher accident and casualty rates than that for non-cities (divisions/ districts, excluding cities). In particular, Rajshahi city and Dhaka city have the highest accident rates. National highways are the main venues of accidents and casualties. Heavy vehicles including buses and trucks are predominantly involved in casualty accident. Implications from this research have been considered and suitable recommendations have been made.
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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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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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Yao, Shenjun, and 姚申君. "Advances in spatial analysis of traffic crashes: the identification of hazardous road locations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50434445.

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The identification of hazardous road locations is important to the improvement of road safety. However, there is still no consensus on the best method of identifying hazardous road locations. While traditional methods, such as the hot spot methodology, focus on the physical distances separating road crashes only, the hot zone methodology takes network contiguity into consideration and treats contiguous road segments as hazardous road locations. Compared with the hot spot method, hot zone methodology is a relatively new direction and there still remain a number of methodological issues in applying the method to the identification of hazardous road locations. Hence, this study aims to provide a GIS-based study on the identification of crash hot zones as hazardous road locations with both link-attribute and event-based approaches. It first explores the general procedures of the two approaches in identifying traffic crash hot zones, and then investigates the characteristics of the two approaches by conducting a range of sensitivity analysis on defining threshold value and crash intensity with both simulated and empirical data. The results suggest that it is better to use a dissolved road network instead of a raw-link-node road network. The segmentation length and the interval of reference points have great impacts on the identification of hot zones, and they are better defined as 100 meters considering the stabilities of the performance. While employing a numerical definition to identify hot zones is a simple and effort-saving approach, using the Monte Carlo method can avoid selection bias in choosing an appropriate number as the threshold value. If the two approaches are compared, it is observed that the link-attribute approach is more likely to cause false negative problem and the event-based approach is prone to false positive problem around road junctions. No matter which method is used, the link-attribute approach requires less computer time in identifying crash hot zones. When a range of environmental variables have to be taken into consideration, the link-attribute approach is superior to the event-based approach in that it is easier for the link-attribute approach to incorporate environmental variables with statistical models. By investigating the hot zone methodology, this research is expected to enrich the theoretical knowledge of the identification of hazardous road locations and to practically provide policy-makers with more information on identifying road hazards. Further research efforts have to be dedicated to the ranking of hot zones and the investigation of false positive and false negative problems.
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Kayi, Calvine. "An analysis of road traffic accidents using Geographic Information Systems (GIS) : the case of Nairobi City, Kenya /." Hamburg : Kovač, 2007. http://www.verlagdrkovac.de/978-3-8300-3247-2.htm.

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Chan, Wing-yee, and 陳詠怡. "An application of GIS for road accident analysis in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224052.

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Books on the topic "Analysis of road accidents"

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Ayati, Esmail. Rural road accidents in Iran: Analysis, comparison and the cost. Birmingham: Aston University. Department of Civil Engineering, 1988.

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Peirson, John. The Microeconomic analysis of the external costs of road accidents. Canterbury: University of Kent at Canterbury, 1996.

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Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledge base bipartite oriented mivar nets, including analysis formulas braking qualities of the vehicle, determining the speed of a car's performance in terms of specific DTS, the formula for calculating different occasions: - slip car when braking, driving on curved sections of the road, hitting a car on the pedestrian in uniform motion and unlimited visibility; a method of generation of interfaces for designer expert systems based on the concept of mivar approach; special software in the form of expert systems "Analysis of road accident" in order to reduce the complexity of the process of calculating the disputed accidents, errors in the calculation and improve the accuracy and objectivity of the results obtained and the speed and quality of the calculations. It can be useful to specialists of expert institutions, insurance companies, educational institutions in the field of expertise, as well as unmanned vehicles in terms of objective analysis and examination of road accidents.
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Long, Dennis A. An analysis of off-highway haulage truck maintenance and repair accidents, 1978-84. Pittsburgh, Pa: U.S. Dept. of the Interior, Bureau of Mines, 1987.

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Naim, Wassim G. Analysis of crossing path crashes. [Washington, D.C.]: National Highway Traffic Safety Administration, 2001.

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Young, Rhonda. Relating wildlife crashes to road reconstruction. [Fargo, N.D.]: Mountain Plains Consortium, 2007.

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Adamo, Anthony F. Analysis of single-vehicle run-off-the-road accidents on rural four lane or more divided highways in Texas. [Austin, TX]: The Dept., 1992.

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Hauer, Ezra. Safety analysis of roadway geometry and ancillary features. Ottawa: Transportation Association of Canada = Association des transports du Canada, 1997.

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Beenstock, Michael. ha-Ḳesher ben akhifat tenuʻah u-teʼunot derakhim: Nituaḥ sṭaṭisṭi = The relationship between traffic law enforcement and road accidents : statistical analysis. Yerushalayim: ha-Misrad le-viṭḥon ha-penim, Lishkat ha-madʻan ha-rashi, 2000.

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Al-Haji, Ghazwan. Towards a road safety development index (RSDI): Development of an international index to measure road safety performance. Linko ping: Linko ping University, 2005.

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Book chapters on the topic "Analysis of road accidents"

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Saha, Bishnu Pada, and Jitendra Kumar Rout. "Analysis and Prevention of Road Accidents." In Lecture Notes in Electrical Engineering, 107–18. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8752-8_11.

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Divya, N., Rony Preetam, A. M. Deepthishree, and V. B. Lingamaiah. "Analysis of Road Accidents Through Data Mining." In Lecture Notes in Electrical Engineering, 287–94. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0212-1_30.

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Jain, Sajal, Shrivatsa Krishna, Saksham Pruthi, Rachna Jain, and Preeti Nagrath. "Analysis of Road Accidents in India and Prediction of Accident Severity." In Data Management, Analytics and Innovation, 69–87. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2937-2_6.

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Igboanugo, A. C., and E. Francis Ekhuemelo. "Intervention Analysis of Road Traffic Accidents in Nigeria." In Advanced Materials Research, 375–82. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-450-2.375.

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Salvo, Francesca, Manuela De Ruggiero, and Valentina Farace. "Appraisal Analysis of Social Costs of Road Accidents." In Appraisal: From Theory to Practice, 241–53. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49676-4_18.

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Avinash, Vighrahala, Appala Brahmananda Gupta, and S. Prince Mary. "Analysis of Road Fatal Accidents Using Apriori Algorithm." In Advances in Power Systems and Energy Management, 627–33. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7504-4_63.

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John, Maya, and Hadil Shaiba. "Analysis of Road Accidents Using Data Mining Paradigm." In Mobile Computing and Sustainable Informatics, 215–23. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1866-6_15.

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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, 59–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89926-8_4.

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Simões, Paula, Sílvia Shrubsall, and Isabel Natário. "A Spatial Econometrics Analysis for Road Accidents in Lisbon." In Computational Science and Its Applications – ICCSA 2014, 269–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09150-1_20.

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Alioua, Nawal, Aouatif Amine, Mohammed Rziza, and Driss Aboutajdine. "Driver’s Fatigue and Drowsiness Detection to Reduce Traffic Accidents on Road." In Computer Analysis of Images and Patterns, 397–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23678-5_47.

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Conference papers on the topic "Analysis of road accidents"

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Sonal, Shristi, and Saumya Suman. "A Framework for Analysis of Road Accidents." In 2018 International Conference on Emerging Trends and Innovations In Engineering And Technological Research (ICETIETR). IEEE, 2018. http://dx.doi.org/10.1109/icetietr.2018.8529088.

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Krishnan, Prashant V., Vivek Chandra Sheel, M. V. S. Viswanadh, Chetan Shetty, and S. Seema. "Data Analysis of Road Traffic Accidents to Minimize the rate of Accidents." In 2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2018. http://dx.doi.org/10.1109/csitss.2018.8768736.

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Fang Wu, Guo, Fu Jia Liu, and Guo Liang Dong. "Analysis of the Influencing Factors of Road Environment in Road Traffic Accidents." In 2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA). IEEE, 2020. http://dx.doi.org/10.1109/icdsba51020.2020.00028.

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Sugetha, C., L. Karunya, E. Prabhavathi, and P. Kola Sujatha. "Performance Evaluation Of Classifiers For Analysis Of Road Accidents." In 2017 Ninth International Conference on Advanced Computing (ICoAC). IEEE, 2017. http://dx.doi.org/10.1109/icoac.2017.8441188.

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Zhang, Xuewen, Fei Huang, and Cheng Zheng. "Causes Analysis of the Serious Road Traffic Accidents Cases." In 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iceep-16.2016.141.

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Li, Fangyuan, Dawei Hu, Chunxia Zhou, Chanchan Wei, and Zhang Cheng. "Factor Analysis of Grievous Road Traffic Accidents in China." In 11th International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41186(421)195.

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Al Khalifa, Khalifa, and Hamouda Abdel Magid. "Cost analysis of road accidents in the State of Qatar." In Qatar Foundation Annual Research Forum. Hamad bin Khalifa University Press (HBKU Press), 2010. http://dx.doi.org/10.5339/qfarf.2010.11.

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Rajaraman, Ravishankar, Ahamedali M. Hassan, and Jeya Padmanaban. "Analysis of Road Traffic Accidents on NH 45 (Kanchipuram District)." In International Mobility Engineering Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2009. http://dx.doi.org/10.4271/2009-28-0056.

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Li, Liling, Sharad Shrestha, and Gongzhu Hu. "Analysis of road traffic fatal accidents using data mining techniques." In 2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA). IEEE, 2017. http://dx.doi.org/10.1109/sera.2017.7965753.

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Saharan, Sabariah, and Roberto Baragona. "A cluster analysis on road traffic accidents using genetic algorithms." In THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES: Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society. Author(s), 2017. http://dx.doi.org/10.1063/1.4980927.

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Reports on the topic "Analysis of road accidents"

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Sapper, Deborah. Analysis of Florida Transit Bus Accidents. Tampa, FL: University of South Florida, December 2004. http://dx.doi.org/10.5038/cutr-nctr-rr-2003-16.

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Rey, Joel. Analysis of Florida Transit Bus Accidents. Tampa, FL: University of South Florida, June 2001. http://dx.doi.org/10.5038/cutr-nctr-rr-2000-20.

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de la Peña, Elena, Enrique Millares, Alejandro Pablo Taddia, Claudia Bustamante, Jacob Veverka, and Yolanda Vaccaro. Road Safety Analysis 2013: Guyana. Inter-American Development Bank, August 2015. http://dx.doi.org/10.18235/0000103.

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de la Peña, Elena, Enrique Millares, Lourdes Díaz, Alejandro Pablo Taddia, Claudia Bustamante, Jacob Veverka, and Yolanda Vaccaro. Road Safety Analysis 2013: Jamaica. Inter-American Development Bank, August 2015. http://dx.doi.org/10.18235/0000104.

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de la Peña, Elena, Enrique Millares, Lourdes Díaz, Alejandro Pablo Taddia, Claudia Bustamante, and Yolanda Vaccaro. Road Safety Analysis 2013: Barbados. Inter-American Development Bank, August 2015. http://dx.doi.org/10.18235/0000108.

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de la Peña, Elena, Enrique Millares, Lourdes Díaz, Alejandro Pablo Taddia, Claudia Bustamante, and Yolanda Vaccaro. Road Safety Analysis 2013: Belize. Inter-American Development Bank, August 2015. http://dx.doi.org/10.18235/0000109.

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Melvin, Kenneth B., Joseph Neggers, and Dennis Runcie. Analysis of Most Frequency Violated Procedures Accidents,. Fort Belvoir, VA: Defense Technical Information Center, November 1988. http://dx.doi.org/10.21236/ada373183.

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de la Peña, Elena, Enrique Millares, Lourdes Díaz, Alejandro Pablo Taddia, Claudia Bustamante, Jacob Veverka, and Yolanda Vaccaro. Road Safety Analysis 2013: The Bahamas. Inter-American Development Bank, August 2015. http://dx.doi.org/10.18235/0000102.

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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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Tawil, J. J., D. L. Strenge, and R. W. Schultz. An analysis of evacuation options for nuclear accidents. Office of Scientific and Technical Information (OSTI), November 1987. http://dx.doi.org/10.2172/10106547.

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