Journal articles: 'Road accident statistics'

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KADOYA, Chitoshi. "Road Accident Statistics." Journal of UOEH 10, no. 2 (1988): 233. http://dx.doi.org/10.7888/juoeh.10.233.

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Saccomanno, F. F. "Road accident statistics." Canadian Journal of Civil Engineering 16, no. 5 (October 1, 1989): 784–85. http://dx.doi.org/10.1139/l89-119.

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Giddings, D. R., and T. P. Hutchinson. "Road Accident Statistics." Statistician 38, no. 1 (1989): 82. http://dx.doi.org/10.2307/2349028.

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Jackson, R. H. "Road Accident Statistics." Archives of Disease in Childhood 63, no. 6 (June 1, 1988): 686. http://dx.doi.org/10.1136/adc.63.6.686-a.

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Adams, John G. U. "Road accident statistics." Journal of Occupational Accidents 10, no. 4 (April 1989): 305–6. http://dx.doi.org/10.1016/0376-6349(89)90023-0.

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Larkin, Robert F. "Road accident statistics." American Journal of Emergency Medicine 7, no. 1 (January 1989): 117–18. http://dx.doi.org/10.1016/0735-6757(89)90108-3.

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Macaulay, M. A. "Road accident statistics." International Journal of Impact Engineering 7, no. 3 (January 1988): 369. http://dx.doi.org/10.1016/0734-743x(88)90039-5.

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Imran, Muhammad, and Jamal Abdul Nasir. "ROAD TRAFFIC ACCIDENTS." Professional Medical Journal 22, no. 06 (June 10, 2015): 705–9. http://dx.doi.org/10.29309/tpmj/2015.22.06.1235.

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Objective: To determine the trend of road traffic accidents (RTAs) and forecastingtheir incidence is an emerging to take safety measures so that general public health relatedmorbidity and mortality can be minimized. Setting: The data for present study has been takenfrom Pakistan bureau of statistics (statistics House). Period: January 2002-2003 to December2011-2012. Methods: A set of eleven curve fitting models namely linear, quadratic, cubic,logarithmic, inverse, exponential growth model, logistics-curve ,and compound models werecarried out for prediction. Results: Under the descriptive analysis, the annual average numberof fatal and non-fatal accidents is 43.3% and 56.7% respectively. In provinces Punjab contributesto a high rate of total number of accidents, while Khyber Pakhtunkhwa, Sindh and Baluchistanplaced second, third and fourth respectively. Under the curve fitting estimation, the cubicmodel was selected for predicting the annual traffic road accident for all categories i.e.(i) Total Number of Accident (ii) Fatal Accident (iii) Non-Fatal Accident (iv) Killed People(v) Injured People and (vi) The Number of Vehicle Involved. Rising trend in all categoriesare expected in Pakistan. Conclusions: The traffic road accident is expected to rise in Pakistan.

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Jaśkiewicz, Marek, and Rafał Jurecki. "The analysis of safety on Polish roads between 2000 - 2010." Transport and Communications 1, no. 1 (2013): 8–14. http://dx.doi.org/10.26552/tac.c.2013.1.3.

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This article provides an assessment of the security situation on Polish roads. Statistical data on road accidents that occurred in different provinces in late 2000 - 2010 were analysed and the attention was drawn to the differences in the number of road accidents recorded between them. The analysis of accident statistics and the effects they had on particular provinces was made. They were presented for Świętokrzyskie province and compared to other provinces.

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Jaśkiewicz, Marek, and Jacek Jaskólski. "The analysis of safety on the polish roads between 2001 and 2016." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 18, no. 9 (September 30, 2017): 20–23. http://dx.doi.org/10.24136/atest.2017.033.

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This article uses statistics on road accidents in Poland from police and GUS (Central Statistical Office) data. The most common causes of road accidents are presented. Graphically presented accident rates both for the whole country and for every voivodeship separetely in the years 2001-2016. Analysis of the impact of the changes in traffic code on safety on public roads in Poland was made as well as the most and least safe voivodeship.

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Saunders, R. A. "Reliability of Road Accident Statistics." Journal of the Royal Society of Health 107, no. 3 (June 1987): 107–9. http://dx.doi.org/10.1177/146642408710700316.

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Hill, Ian. "Book Review: Road Accident Statistics." Medicine, Science and the Law 28, no. 4 (October 1988): 344. http://dx.doi.org/10.1177/002580248802800417.

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Olkhov, V. "ESTABLISHMENT OF CAUSE AND EFFECT RELATIONSHIP BETWEEN IMPROPER ARRANGEMENT OF TRAFFIC MANAGEMENT FACILITIES AND TRAFFIC ACCIDENTS OCCURRENCE." Theory and Practice of Forensic Science and Criminalistics 21, no. 1 (December 15, 2020): 432–40. http://dx.doi.org/10.32353/khrife.1.2020_30.

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The daunting issues arising at experts and forensic bodies when appointing and conducting comprehensive road and pavement forensic investigation and road accident analysis (forensic expert examination) are considered. Types of traffic accidents provided by the statistics of the Department of Patrol Police of Ukraine are analyzed. A number of road accidents with victims committed in conditions of the road and settlements streets unsatisfactory state is defined. More and more judicial and investigative bodies turn to forensic science institutes, in particular to KhRIFE, in order to determine whether the improper design of the road network affected the occurrence of an accident. In other words, the questions not only on the establishment of improper design of the road section where the accident occurred, but also on the existence of cause and effect relationship between the identified discrepancies and the accident are advanced for examination. The study of the above issues belongs to the forensic specialty 10.16 Road and Pavement Forensic Investigation. The demand for forensic research of improper design of the road network and the causes of accidents are constantly growing. At the same time, the practice of conducting road and pavement forensic investigation, namely the analysis of the materials provided for the study, shows that most criminal proceedings are investigated both while pre-trial investigation and in court for violation of traffic safety rules or transport operation by persons who drive vehicles. In the statistical report of the Department of Patrol Police of Ukraine, the data of road accidents are not classified as those that arose due to improper condition of roads and streets of settlements, and when conducting road and pavement forensic investigation it is established that improper design of the road network is in cause and effect relationship with the occurrence of an accident from a technical point of view.

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Bukova-Zideluna, A., A. Villerusa, and A. Lama. "An overview on pedestrians involved in traffic accidents in Latvia: Years 2010-2014." SHS Web of Conferences 40 (2018): 01004. http://dx.doi.org/10.1051/shsconf/20184001004.

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Latvian national road accident statistics shows that for the vulnerable road users’ situation is critical, since pedestrians are involved in more than a quarter of road traffic accidents. This paper gives an analysis on pedestrians involved in road traffic accidents based on the road safety accident database in Latvia for the years 2010–2014. The total number of cases does not change significantly, however there has been an increase in pedestrian fatality rates over the period. From the total number of traffic accidents with pedestrians involved 92.4% had injuries, 6.8% were lethal cases and others didn't suffer from injuries. Out of 342 fatalities 37.7% occurred during the winter period, 56.1% in adverse weather (overcast, fog, rain or snow), 69.9% during twilight or darkness and 26.9% on weekends. Out of all accidents 55.3% occurred in the capital city Riga, but fatality rate was higher on main state roads. 8.1% of the total number of pedestrians involved in road traffic accidents was found to have alcohol in their blood right after the road traffic accident. Fatality rate was higher for those with exceeded BAC. Pedestrian injury risk analysis was associated with demographical and traffic-related factors, urbanization, visibility and seasonal patterns.

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Wang, Xue, Huiting Yu, Chan Nie, Yanna Zhou, Haiyan Wang, and Xiuquan Shi. "Road traffic injuries in China from 2007 to 2016: the epidemiological characteristics, trends and influencing factors." PeerJ 7 (August 6, 2019): e7423. http://dx.doi.org/10.7717/peerj.7423.

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Background Road traffic accidents are one of the serious disasters that cause public injury, fatality and great economic loss. They are a growing public health problem around the world. Objectives The aim of this study was to determine epidemiological characteristics, tendency and possible influencing factors of road traffic injuries (RTIs) in China, so as to give target suggestions on preventative measures. Methods Road traffic accident data were obtained from National Bureau of Statistics of China and Ministry of Transport of the People’s Republic of China. Descriptive statistic such as RTIs frequency, trends of different accident types from 2007 to 2016; the RTIs difference between different regions and road surfaces were compared; and the possible influencing factors of RTIs were also explored. Results Over the past decade, with the mileage of constructed highway increased, the frequency of road traffic accidents have declined substantially in China, and the death toll from road traffic accidents with motor vehicles has declined from 2007 to 2015, Conversely, the number of deaths from non-motor vehicle accidents has risen rapidly since 2012. Our study showed that the traffic accident related mortality in Guizhou province was different from the level of the whole nation, and the Eastern, Central and Western areas of China were all significantly different (P < 0.001). Linear regression suggested a significant affected of gross domestic product (GDP)-per-capita, education level, the number of health institutions, populations, and car ownership status on traffic accident death tolls (P < 0.001). Moreover, cement concrete pavement roads were associated with the highest occurrence rates of RTI, and RTIs was statistically significant (P < 0.001) on different road surfaces. Conclusion Even though the frequency of road traffic accidents has declined, RTIs remain an urgent public health problem in China. Thus, the government should give some target preventative measures to reduce RTIs, aiming at different regions, the increasing trend of the death toll related to non-motor vehicles and the highest occurrence on cement concrete pavement roads.

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Дорохин and S. Dorokhin. "MODERN APPROACHES AND PROSPECTS OF DEVELOPMENT OF PREVENTION OF ROAD SAFETY." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 2, no. 2 (December 17, 2015): 594–98. http://dx.doi.org/10.12737/19420.

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The article gives statistics of road accidents in the Russian Federation for 9 months of 2015, the statistics of road accidents involving children under the age of 18 years. Analyzed the consequences of the accident and proposed measures for the prevention of child road traffic injuries and a range of other measures that allow for prevention among different age groups

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Ahmad, Arif, Khandaker Hossain, and Mallik Hossain. "Identification of Urban Traffic Accident Hotspot Zones Using GIS: A Case Study of Dhaka Metropolitan Area." Journal of Geographical Studies 3, no. 1 (April 4, 2020): 36–42. http://dx.doi.org/10.21523/gcj5.19030104.

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The issue of traffic safety becomes increasingly prominent and has attracted widespread attention from researchers and policy makers. Dhaka, the capital of Bangladesh, is the most vulnerable city both in terms of total number of accidents and accident rates. GIS technology has been widely applied to urban traffic information and safety management. This paper presents a geospatial analysis to identify the road traffic accident (RTA) hotspot zones in Dhaka Metropolitan Area (DMA). ‘Spatial analysis’ and ‘spatial statistics tools’ are used to examine spatial patterns of accident data. A systematic comparison of identified hotspot zones using Local Moran’s-I Statistic, Getis-Ord Gi* statistic and Kernel Density Estimation (KDE) carried out to examine spatial patterns of high cluster of traffic accidents. These analyses revealed a total 22 hotspot zones in DMA during the years 2010-2012. This kind of research would help generating new parameters for reducing road traffic accidents in Dhaka Metropolitan Area.

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Visby, Rie Hultqvist, and Karoline Lundholt. "Gender Differences in Danish Road Accidents." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 3 (September 11, 2018): 166–74. http://dx.doi.org/10.1177/0361198118795005.

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A study based on the Danish Road Directorates accident statistics shows that there are different gender patterns in how we behave in traffic and our involvement in traffic accidents. Overall men drive more by car and take longer trips. Women take more trips, but they are shorter, and travel more by bicycle or walking. Although men and women spend the same amount of time in traffic, twice as many men as women are involved in traffic accidents. Men constitute 62% of all persons killed and injured in road accidents, and are involved in 66% of the accidents. Not only gender, but education, income and age are also important factors in the accident patterns of men and women in Denmark. People with primary/lower secondary school as the highest education level are over represented in accident statistics in proportion to other educational groups. Young people aged 18–24 constitute about 20% (the largest group) of persons killed and injured in traffic accidents, although they only constitute approximately 8% of the population. In this group, there are about twice as many men killed or injured as women. The overall pattern is that, the older you become, the higher educated you are and the higher income you have—the smaller is your risk of involvement in accidents in Denmark. This knowledge is of importance when planning communication strategies with different segments of the population and when reaching out to young people in schools, who are at the highest risk of getting killed or injured in accidents.

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Brzozowska-Rup, Katarzyna, and Marzena Nowakowska. "Modelling road traffic safety indices by means of regression with panel data." Engineering Management in Production and Services 12, no. 4 (December 1, 2020): 40–51. http://dx.doi.org/10.2478/emj-2020-0026.

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Abstract Although the occurrence of road accidents and the number of road accident casualties in almost all Polish voivodeships has decreased over the last few years, the rate of this change varies considerably from region to region. To provide a better understanding of such a tendency, panel data regression models are proposed to conduct this pilot research which evaluates the relative performance of Polish regions in terms of their road traffic safety. Panel data are multi-dimensional data which involve measurements over time. In the research, a voivodeship is a unit analysed at a group level, whereas a year is a unit analysed at a time level. A two-way error component regression model has been applied to survey the impact of regressors, the group effects, and time effects on a dependent variable. The analysis has been conducted using data acquired from the Statistics Poland Local Data Bank website, as well as from the General Directorate for National Roads and Motorways. The panel data from 16 regions in Poland and the 2012–2018 period have been investigated. The examined models refer to road traffic safety indices defined based on the following characteristics: the number of road accidents, the number road fatalities, and the number of people injured. The results of all the three models indicate a negative effect as regards the GDP per capita, (car) motorisation rate, the indicator of government expenditure for current maintenance of national roads, and the road length per capita. A positive association has been found between the truck motorisation rate and the indicator of local government expenditure on roads. The impact of the region's urbanisation indicators on road safety is ambiguous as, on the one hand, its increase causes a reduction in the road accident and accident injury indices, but, on the other hand, it produces a rise in the accident fatality index. In the models, the significance of time effects has been identified; a decreasing time trend suggests a general improvement in road safety from year to year. Most of the group effects have turned out to be highly significant. However, the effects differ as regards both the road accident and the accident injury indices in magnitude and direction.

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Ban, Xiao Jing, Chuan Jiao Sun, and Jian Gang Gao. "Statistical Analysis and Countermeasures Study on Road Transportation Accidents of Dangerous Goods." Applied Mechanics and Materials 97-98 (September 2011): 1063–68. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.1063.

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Road transportation accidents of dangerous goods occur frequently. These accidents destroy and pollute the environment seriously, cause huge economic loses and endanger the safety of people's lives and property. 233 cases of road transportation accidents of dangerous goods which occurred during January 2008 to December 2010 were collected in this paper, accompanied by classified statistics and detailed analysis, three countermeasures have been proposed: strengthening the transport of dangerous goods management under severe weather, focusing on the daily inspection and control, implementing accident prevention measures in important region and roads. The study of this paper has important practical significance on researching how to prevent the occurrence of such accidents.

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Muhammed Yahaya, Abdulkadir, Abdullahi Sani Yusuf, Inusa Musa, Fatima Ilyasu Maaji, Suleiman Umar Bambale, Rowland Oscar, Abubakar Muhammad Bawa, and Angela Uwanuakwa. "A spatiotemporal appraisal of road traffic accident in Kaduna metropolis, Nigeria." Journal of Social, Humanity, and Education 1, no. 3 (May 10, 2021): 209–26. http://dx.doi.org/10.35912/jshe.v1i3.535.

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Purpose: Road accident has been claiming lives and no amount of research will be enough to expose the causes and dangers. This study appraises the causes and analyses the variation of road accidents in the Kaduna metropolis, intending to reduce it. Research methodology: The data used was obtained from Federal Road Safety Corps and complemented by the researchers’ field survey. Eight members of the research team went to the 24 bus stops identified each month rotationally. Both descriptive and inferential statistics were applied in the analysis. Results: There was a high correlation of mortality and road accident injuries as confirmed by r-value 0.7 using pearson product moment correlation. Accidents occur most in the morning and afternoon and the season with most accident occurrence was the dry season. The combination of over speeding and other factors were the major causes of road accidents. Limitations: The study used data published in 2016, although a follow-up data verification was conducted in 2017 and 2018. Therefore, the study is old and the results might have changed and might not necessarily be reliable. Contribution: Road accidents hot spots areas, causes, and patterns were exposed to guide the road users in order to avoid the accident. The study can also be replicated in other study areas with similar characteristics.

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Kumar, Sachin, Prayag Tiwari, and Kalitin Vladimirovich Denis. "Augmenting Classifiers Performance through Clustering." International Journal of Information Retrieval Research 8, no. 1 (January 2018): 57–68. http://dx.doi.org/10.4018/ijirr.2018010104.

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Road and traffic accident data analysis are one of the prime interests in the present era. It does not only relate to the public health and safety concern but also associated with using latest techniques from different domains such as data mining, statistics, machine learning. Road and traffic accident data have different nature in comparison to other real-world data as road accidents are uncertain. In this article, the authors are comparing three different clustering techniques: latent class clustering (LCC), k-modes clustering and BIRCH clustering, on road accident data from an Indian district. Further, Naïve Bayes (NB), random forest (RF) and support vector machine (SVM) classification techniques are used to classify the data based on the severity of road accidents. The experiments validate that the LCC technique is more suitable to generate good clusters to achieve maximum classification accuracy.

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EslamiNezhad, S. A., and M. R. Delavar. "AN INTEGRATED NETWORK-CONSTRAINED SPATIAL ANALYSIS FOR CAR ACCIDENTS: A CASE STUDY OF TEHRAN CITY, IRAN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 335–42. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-335-2019.

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Abstract. Research on determination of spatial patterns in urban car accidents plays an important role in improving urban traffic safety. While traditional methods of spatial clustering of car accidents mostly rely on the two dimensional assumption, many spatial events defy this assumption. For instance, car accidents are constrained by the road network and rely on the one dimensional assumption of street network. The aim of this study is to detect and statistically prioritize the car accident-prone segments of an urban road network by a network-based point pattern analysis. The first step involves estimating the density of car accidents in the one dimensional space of the road network using the network kernel density estimation (NKDE) method with equal-split continuous and discontinuous kernel functions. In the second step, due to the lack of statistical prioritization of the accident-prone segments with NKDE method, the output of the NKDE method is integrated with network-constrained Getis-Ord Gi* statistics to measure and compare the accident-prone segments based on the statistical parameter of Z-Score. The integration of these two methods can improve identification of accident-prone segments which is effective in the enhancing of urban safety and sustainability. These methods were tested using the data of damage car accidents in Tehran District 3 during 2013–2017. We also performed the Network K-Function to display the significant clustering of damage car accident points in the network space at different scales. The results have demonstrated that the damage car accidents are significantly clustered.

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Nagrebelna, Liydmila, Olga Belenchuk, and Oleksii Petrashenko. "EFFECTIVE APPROACH TO DETECTING ROADS FOR PRIORITY PLANNING FOR ROAD SAFETY MEASURES." Avtoshliakhovyk Ukrayiny, no. 4 (260) ’ 2019 (December 28, 2019): 52–57. http://dx.doi.org/10.33868/0365-8392-2019-4-260-52-57.

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The basic approaches for identifying dangerous road sections for prioritizing road safety measures are outlined. The effectiveness of the result depends on how well the areas where the road safety measures need to be implemented are identified. Suggestions for identifying dangerous places on the roads according to the statistics of traffic accidents using the methods of probability theory are given. On the basis of the analysis of statistics on roads with different number of adventures, limit values of the admissible number of adventures on sections of roads of different length are established. It is proved that it is necessary to create a comprehensive approach to solving a complex problem – improving road safety. Оne of the important approaches for the definition of dangerous road sections according to the data of road accidents, which is proposed by the authors, is the method of detection of sections (places) of concentration of road accidents (black spots). The purpose of this article is to: introduce an approach in road safety management to reduce the number of road accidents and the severity of their consequences on Ukraine’s highways by first implementing measures to improve road conditions and improve road organization. The effectiveness of the result in reducing the number of traffic accidents depends on the areas so clearly identified that, in the first place, it is necessary to implement measures to improve road safety. That is why this approach was introduced in traffic safety management. The purposeful financing of measures, aimed primarily at eliminating such sites, will help to reduce the number of road accidents and the severity of their consequences. Keywords: road safety, methods of analysis, dangerous road sections, place of concentration of road accidents, black spots, road accident.

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Akinyemi, Olasunkanmi Oriola, Hezekiah O. Adeyemi, and Olusegun Jinadu. "Road Transport Accidents in Nigeria and the Role of Automotive Active Safety System." TRANSACTIONS of the VŠB – Technical University of Ostrava, Safety Engineering Series 11, no. 1 (March 1, 2016): 49–54. http://dx.doi.org/10.1515/tvsbses-2016-0007.

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Abstract Analysis of road traffic accidents revealed that most accidents are as a result of drivers’ errors. Over the years, active safety systems (ASS) were devised in vehicle to reduce the high level of road accidents, caused by human errors, leading to death and injuries. This study however evaluated the impacts of ASS inclusions into vehicles in Nigeria road transportation network. The objectives was to measure how ASS contributed to making driving safer and enhanced transport safety. Road accident data were collected, for a period of eleven years, from Lagos State Ministry of Economic Planning and Budget, Central Office of Statistics. Quantitative analysis of the retrospective accident was conducted by computing the proportion of yearly number of vehicles involved in road accident to the total number of vehicles for each year. Results of the analysis showed that the proportion of vehicles involved in road accidents decreased from 16 in 1996 to 0.89 in 2006, the injured persons reduced from 15.58 in 1998 to 0.3 in 2006 and the death rate diminished from 4.45 in 1998 to 0.1 in 2006. These represented 94.4 %, 95 % and 95 % improvement respectively on road traffic safety. It can therefore be concluded that the inclusions of ASS into design of modern vehicles had improved road safety in Nigeria automotive industry.

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Tarnu, Lucian, and Cristian Deac. "Considerations Regarding the Analysis and Interpretation of Traumatic Lesional Mechanisms in Road Accidents." MATEC Web of Conferences 343 (2021): 06006. http://dx.doi.org/10.1051/matecconf/202134306006.

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According to statistics, road transportation is the most dangerous means of transportation and also the costliest in terms of human lives and material damage. The increase of road safety is a priority goal of the European Commission and an area of high interest for Romania, which is unfortunately placed very high in the hierarchy of countries with a high number of deaths resulting from road accidents. This study presents the mechanisms of the generation of traumatic injuries and also analyses the manner of interpreting these mechanisms in the case of road accidents, both from the perspective of law enforcement and from the perspective of specialists in road transportation, who analyse and investigate road accidents from a technical point of view. Determining the lesional mechanisms helps to better understand the real image of the conditions of an accident’s occurrence, in order to clearly illustrate the elements mentioned in the forensic accident site report and to complement all other means to gather information at that site.

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Igboanugo, A. C., and E. Francis Ekhuemelo. "Intervention Analysis of Road Traffic Accidents in Nigeria." Advanced Materials Research 18-19 (June 2007): 375–82. http://dx.doi.org/10.4028/www.scientific.net/amr.18-19.375.

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This study reports on the development in road traffic accidents in Nigeria since 1994. The preliminary survey took Edo state, one of the 36 constituent States of Nigeria, as a case study. An intervention model, which is a combination of an ARIMA noise and dichotomous models, was employed in analyzing a seven-year monthly accident time series obtained from the Federal Office of Statistics and the Federal Road Safety Corps of Nigeria. The Durbin Watson’s test statistic, used to ascertain the adequacy of our ARIMA predictive model, suggested that the intervention model adopted has a good fit. The study points up a significant reduction in the rate of road traffic accidents through multiple policy interventions of Nigeria.

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Pegin, Pavel, and Olga Pegina. "Features of Drivers Post-Accident Syndrome." MATEC Web of Conferences 334 (2021): 02031. http://dx.doi.org/10.1051/matecconf/202133402031.

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According to long-term observations of drivers - participants in road accidents, the new interpretation of the generally accepted definition of post-accident syndrome is proposed and the criteria for this concept defined. The methods and ways of removing the driver out of the post-accident syndrome are formulated. The classification of post-accident syndrome is formulated according to statistics analysis. The new term “psychological severity of the accident” was proposed for discussion.

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Lipar, Peter, Jure Kostanjšek, and Marijan Žura. "Identification of road accident hot spots using spatial statistics." Geodetski vestnik 54, no. 01 (2010): 061–69. http://dx.doi.org/10.15292/geodetski-vestnik.2010.01.061-069.

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Mendoza, Alberto, Jesús M. Chavarría, and Emilio Mayoral. "Some Measures to Improve Safety of Road Motor Transport in Mexico." Transportation Research Record: Journal of the Transportation Research Board 1613, no. 1 (January 1998): 63–70. http://dx.doi.org/10.3141/1613-09.

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Several statistics concerning the occurrence of accidents on the most important fraction of the Mexican highway system (basic network) are given. The involvement of cargo trucks in these accidents is discussed. The factors that contribute most to the occurrence of accidents are identified. Among these factors, those related to the speed of the vehicles that make up the traffic flows stand out. An economic analysis to determine the optimum speed limits and highway design speeds is provided. This analysis is based on depicting, for a given road section, the trend of vehicle operating costs (VOCs), accident costs, and the sum of both with respect to speed. The trend of accident costs is determined from assessment of the average cost per accident in the basic network and prediction of the variation of accident rate with respect to mean flow speed. The VOC trend is obtained by using the World Bank VOC model, calibrated for Mexican conditions. Some recommendations for improving existing speed laws and the enforcement of the regulating system are presented. Other actions for generating a national road safety program are mentioned.

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Naboureh, Feizizadeh, Naboureh, Bian, Blaschke, Ghorbanzadeh, and Moharrami. "Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services." ISPRS International Journal of Geo-Information 8, no. 9 (August 25, 2019): 371. http://dx.doi.org/10.3390/ijgi8090371.

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The appropriate locations of road emergency stations (RESs) can help to decrease the impact of traffic accidents that cause around 50 million injuries per year worldwide. In this research, the appropriateness of existing RESs in the Khuzestan province, Iran, was assessed using an integrated fuzzy analytical hierarchy process (FAHP) and geographic information system (GIS) approach. The data used in this research were collected from different sources, including the department of roads, the department of health, the statistics organization, forensics, police centers, the surveying and geological department, remotely-sensed and global positioning system (GPS) data of accident high crash zones. On the basis of previous studies and the requirements of the Ministry of Health and Medical Education, as well as the department of roads of Iran for the location of RESs, nine criteria and 19 sub-criteria were adopted, including population, safety, environmental indicators, compatible area in RES, incompatible area in RES, type of road, accident high crash zones, traffic level and performance radius. The FAHP yielded the criteria weights and the ideal locations for establishing RESs using GIS analysis and aggregation functions. The resulting map matched the known road accident and high crash zones very well. The results indicated that the current RES stations are not distributed appropriately along the major roads of the Khuzestan province, and a re-arrangement is suggested. The finding of the present study can help decision-makers and authorities to achieve sustainable road safety in the case study area.

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Olszewski, P., B. Osińska, P. Szagała, P. Skoczyński, and A. Zielińska. "Problems with Assessing Safety of Vulnerable Road Users Based on Traffic Accident Data." Archives of Civil Engineering 62, no. 4 (December 1, 2016): 149–68. http://dx.doi.org/10.1515/ace-2015-0113.

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AbstractThe problem of poor quality of traffic accident data assembled in national databases has been addressed in European project InDeV. Vulnerable road users (pedestrians, cyclists, motorcyclists and moped riders) are especially affected by underreporting of accidents and misreporting of injury severity. Analyses of data from the European CARE database shows differences between countries in accident number trends as well as in fatality and injury rates which are difficult to explain. A survey of InDeV project partners from 7 EU countries helped to identify differences in their countries in accident and injury definitions as well as in reporting and data checking procedures. Measures to improve the quality of accident data are proposed such as including pedestrian falls in accident statistics, precisely defining minimum injury and combining police accident records with hospital data.

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Petrov, Artur. "Identification of sustainability of road safety improvement in Russian cities with a population of more than 1 million people." E3S Web of Conferences 138 (2019): 01008. http://dx.doi.org/10.1051/e3sconf/201913801008.

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The article examines the issues of assessing the sustainability of road safety improvement process in Russian cities with a population of more than 1 million people. In 2015...2018 a sharp decrease in the overall level of road traffic accidents in the Russian Federation was recorded. However, in different regions and cities of the country this positive process runs extremely heterogeneously, with various speeds and different levels of qualitative changes in the field of road safety. The T-Wilcoxon criterion is an instrument, used in analyzing accident rate statistics, which can help in the argumentation of the opinion on the sustainability of this process or, vice versa, on the chaotic state and weak expression. On the example of accident rate statistics in Russian cities with a population of more than 1 million people, the article proves that improvement of road safety can be characterized as sustainable.

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Fan, Yi Lin, Bei Chen Cheng, Li Li Cao, and Kun Cheng Huang. "City Occupancy and Road Capacity Model." Advanced Materials Research 1044-1045 (October 2014): 1538–40. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1538.

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In this paper, we study the impact of city driveway occupancy on the urban road traffic capacity. Through the analysis of the scene of an accident case, we gained the vehicle statistics within a cross section in unit time and then did calculation and simulation. The work is concluded as a reasonable model of vehicle queue relationship evaluation.First, on the base of the definition of traffic capacity, statistics of the cars in the cross section before the accident, during the accident and after the accident have been respectively acquired in unit time (1 min). Then we employ Matlab to do the interpolation fitting, drawing the change of actual capacity of the road from the beginning time of an accident to the time when traffic resumes. The work comes to a conclusion that the change of the capacity at the cross section has a pattern of periodic fluctuation.

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Malmtorp, Jan, Johan Lundin, Peter Lundman, and Per Vedin. "Safety in Road Tunnels – Safety Target Proposal." International Journal of Applied Science 2, no. 3 (December 13, 2019): p13. http://dx.doi.org/10.30560/ijas.v2n3p13.

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The purpose of this paper is to propose a quantitative target for assessment of life safety in road tunnels and describe how such a target can be utilized and developed further. The target is developed from an analysis of initiating events, accident statistics and analytical approaches and it makes it possible to tailor the safety concept in individual tunnels to meet the target by means of quantitative risk analyses. The results indicate that the practice proposed is beneficial for both quality and transparency in the decision-making, as well as it can be judged to have the potential to improve cost-efficiency in the safety related work. It is concluded that the target should be calibrated and evaluated with data from real tunnels before implementation and that the resulting safety level from present ruling is assessed. Also, it is concluded that the total cost to realize the safety target is assessed. It is recommended to put more effort on general accident prevention in tunnels compared to surface roads in order to reduce the number of events that may escalate beyond control. It is also recommended that the road tunnel safety learning processes are improved by routine collection, compilation and evaluation of data on road tunnel accidents as well as vehicle-fires and dangerous goods accidents in road traffic as a whole.

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Miao, Xiao Kun, and Ming Yang Li. "Application of Grey Model(1,1) in Road Traffic Accident Forecast." Applied Mechanics and Materials 65 (June 2011): 551–56. http://dx.doi.org/10.4028/www.scientific.net/amm.65.551.

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Road traffic accident forecast is a complex stochastic process. Based on the statistics of road traffic accident, Grey Model (1, 1)( short for GM(1, 1)) was applied to forecast the future number of road traffic accident in this paper. GM(1, 1) was established according to the time-series. GM(1, 1) is usually applied for such stochastic unconfirmed problem as road traffic accident forecast. Base on MATLAB software, the forecast value of road traffic accident was given. The precision of the test results show that the model is accurate and the forecast results are reliable.

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Al-Thaifani, Abdulhameed Ali, Nabil Ahmed Al-Rabeei, and Abdulsalam Mohammed Dallak. "Study of the Injured Persons and the Injury Pattern in Road Traffic Accident in Sana’a City, Yemen." Advances in Public Health 2016 (2016): 1–5. http://dx.doi.org/10.1155/2016/4138163.

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Background. Fatal road traffic accidents constitute a significant public health problem. Aim. The aim of the study was to analyze road traffic accidents in Sana’a city, Yemen, during 2013–2015. Methods. The required information and data of accidents were collected, respectively, from police reported road accident statistics, Sana’a city. 11684 cases of road traffic accidents during period 2013–2015 were studied. Results. 840 people were killed and 9760 people were injured in RTAs during 2013–2015 in Sana’a city. The accident rates per 100000 of the population were 234.8 in 2013, 180.3 in 2014, and 92.2 in 2015. Mortality rates per 100000 of the population were 15.17 in 2013, 12.2 in 2014, and 8.9 in 2015. High speed was the single most important factor responsible for accidents, deaths, and injuries accounting for 38.1% of RTAs followed by drivers’ fault accounting for 18.9% of the total RTAs. The most common age group involved was ≥18 years. Males accounted for 83.1% of killed and injured persons. Most frequent victims of road traffic accidents were vehicles motor (48.9%) followed by pedestrians (38.1%). More than half of RTAs occurred on the straight road. Conclusion. RTAs are a major source of public health concern in Sana’a city, Yemen. Preventive measures to reduce the burden of mortality and morbidity due to road accidents should be introduced.

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Xiong, Xiaoxia, Shuichao Zhang, and Lin Guo. "Non-motorized Vehicle Traffic Accidents in China: Analysing Road Users’ Precrash Behaviors and Implications for Road Safety." International Journal of Safety and Security Engineering 11, no. 1 (February 28, 2021): 105–16. http://dx.doi.org/10.18280/ijsse.110112.

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The paper aims to explore underlying patterns of non-motorized vehicle (NM, including both regular bicycles and e-bikes) traffic accident occurrences based on precrash behaviors. A quarter-year data of NM accidents was collected by Yinzhou Traffic Police Department of Ningbo, China. Descriptive statistics and Rough Set theory were used to examine rules within different types of NM accidents from temporal, spatial, and behavioral aspects. Some main findings include: behavior patterns of different parties involved vary across different accident types, levels of roads, and intersections; motorized vehicle’s illegal turning as well as NM’s reverse riding are the two key behaviors that deserve concern across all levels of roads and intersection; in addition, for higher level urban roads more attention should be focused on lane violations of motorized vehicles, and for branch roads and intersections prevention efforts could be directed to motorized vehicles’ illegal turning around and NM’s red-light running respectively. Results from this paper could facilitate related staff formulating more targeted policies to make roadways safer.

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Musiał, Paweł. "Police Academy in Szczytno, Poland." Internal Security 13, no. 1 (September 27, 2021): 267–83. http://dx.doi.org/10.5604/01.3001.0015.2913.

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Traffic accidents are a very common cause of death or disability in people. They usually involve users of various vehicles on the road or pedestrians. They are also among the main problems of public health in Poland. Accidents cause many human tragedies every year. Every day, many people die on Polish roads for many different reasons. The motorcycle season tends to change its time-frame from year to year, taking the form of a year-round. Recklessness, non-compliance with road rules, excessive speed, bad weather conditions and mistakes made by car drivers cause many traffic accidents that involve motorcyclists. They result in severe multi-organ trauma or instant death of the victims. Modern technologies designed to improve the safety of motorcycles as well as the protections used in helmets and protective clothing are helpless in the face of traffic accident mechanisms. The author analyzed the data obtained from the Police Headquarters Road Traffic Department, showing the number of road incidents involving motorcyclists in 2019. The material shows the scale of accidents broken down into causes, number of road incidents in individual months and age of the perpetrators. The references to data from previous years show the problem of accidents on Polish roads and the position of Poland in the European statistics as a country with a high percentage of fatalities in traffic accidents.

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Li, Jin Yao. "Analysis and Countermeasure of Traffic Accidents in a Dalians Transportation Group." Applied Mechanics and Materials 501-504 (January 2014): 2436–40. http://dx.doi.org/10.4028/www.scientific.net/amm.501-504.2436.

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Nowadays, traffic accidents have become one of the ten major threats to human health, and reducing the damage to life and property has been the people's demands. Traffic accident analysis has its inherently regional difference. The main objectives of this paper is to conduct investigation and statistical analysis on the weather conditions, month, week, hour, road environment, the drivers age and driving-age of the accidents, based on the traffic accidents records of a Dalians transportation group from 2008 to 2012. According to the acquired statistics and countering the geographical and climatic characteristics of Dalian area, this paper put forward traffic accident prevention measures proposed for Dalian area:Timely safety education and training for the drivers, establishing enterprise safety culture and establishing and improving the safety management system of modern traffic.

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Men, Yu Zhuo, Hai Bo Yu, and Xin Pan. "Study on Macroscopic Prediction Model of Traffic Accident Influence Factors." Advanced Materials Research 590 (November 2012): 531–35. http://dx.doi.org/10.4028/www.scientific.net/amr.590.531.

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In order to study the main influence factors on urban traffic accident, the grey correlation system macroscopic prediction method was presented. Concerning the overall environmental perspective of people, automobile, and road as well as the distinctive characteristic of urban traffic accident, the prediction model of factors contributing to traffic accident was proposed. EXCEL software was applied to analyze the relations between the influence factors and traffic accidents with grey theory model adopted to calculate the correlation grade among different factors. The prediction Model was also validated through examples on the basis of the investigation of traffic accident and the relevant statistics. The results show that the model is applicable and efficient in forecasting the main factors and the relations between them, thus to avoid traffic accidents.

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Zielinkiewicz, Arkadiusz. "The role of the technical standard of roads due to traffic safety at nighttime." Budownictwo i Architektura 13, no. 4 (December 11, 2014): 293–300. http://dx.doi.org/10.35784/bud-arch.1859.

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Accident statistics and previous research directly indicate an increased accident risk during deterioration of natural lighting conditions. This increased risk is mainly determined by so-called “human impact”, connected with perception limitations and recognition of situations by nighttime traffic participants. Proper road infrastructure solutions are essential for improvement of driver’s road vision at nighttime. Planning of such solutions requires proper identification of set of accident risk determinants at nighttime. In this paper the attempt to identify of such determinants was performed and the hypothesis that the technical standard of roads is the main infrastructural determinant influencing accident risk at nighttime was verified. Validity of this assumption results from the fact that lower technical standard accompanies lower requirements regarding limits of geometrical parameters, roadside equipment and access control. Thus, with lower technical standard, problems concerning the influence of infrastructure on road safety should appear, especially during nighttime conditions. On the basis of regression accident estimation models, main infrastructural determinants of higher accident risk at nighttime were identified and some design recommendations were formulated.

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Kolesnikova, D., T. Karabchuk, D. Salnikova, and T. Fattahov. "Estimation of socio-economic national losses as a result of road accidents in russia." Voprosy Ekonomiki, no. 6 (June 20, 2016): 131–46. http://dx.doi.org/10.32609/0042-8736-2016-6-131-146.

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Every thirty minutes a person dies in a road traffic accident in Russia. Twenty five thousand people die annually, which is equivalent to the middle-populated city in the country. According to Traffic Police Statistics, much more people get wounded or disabled in road accidents. In order to reduce the number of deaths in car accidents it is necessary to implement specific measures, which require substantial public investment. Hence the relevance of more specific evaluation of socio-economic national losses arising because of death, disablement and traumatism in road traffic accidents. To make this possible, the authors have worked out the efficient methodology for estimating socio-economic national losses as a result of road accidents. According to our analysis, the total value of such losses equals 487.1 billion RUB in 2013.

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Li, Yao Ping, Zhe Cao, Long Feng, and Zheng Gao Yang. "Road Traffic Crash Accident Distribution Law Analysis in China." Applied Mechanics and Materials 253-255 (December 2012): 1611–14. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1611.

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This paper is to reveal the distribution rules of highway traffic accident in China. Using statistics data, this paper discusses highway traffic accident frequency and severity distributions by various factors, including temporal dimension, road factors (such as road classes or functions, geometric alignment, etc.), vehicles factors, and drivers’ factors in details. The distributions of highway traffic accident type and highway traffic accident causes are also examined in the paper. A series of useful and interesting conclusions are available for domestic and overseas traffic policy-makers and road safety engineers.

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Singh, Sandeep, and . "Accident Study and Analysis of Selected Black Spots – A Case Study." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 1254. http://dx.doi.org/10.14419/ijet.v7i3.12.17866.

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In the present study, accident statistics of 2011 to 2014 has resolved Vidya path as a black spot. In addition, attempt has been made to investigate the prevailing conditions of two V3 road stretches i.e. (Stretch – 1: road dividing sec – 14 and 15 and Stretch – 2: road dividing sec – 11 and 12) of Chandigarh for accidental risk. The moral of investigation has cleared that all the prime associated parties i.e. traffic, speed and users/driver are favoring the accidental risk; as during peak hour the road stretches were found short of capacity, speed of vehicles was over the legal speed and the users were ignoring the rules and regulation of driving. Consequently, the injury and life risk for pedestrians and cyclists are at the most. The preventive measures for the same are also incorporated.

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Ibrayev, K., A. Ibrayev, D. Kapskiy, Y. Kot, A. Rybinskiy, and S. Bogdanovich. "Analysis of the State of the Road Traffic Safety in the Republic of Kazakhstan." Science & Technique 18, no. 6 (December 5, 2019): 482–89. http://dx.doi.org/10.21122/2227-1031-2019-18-6-482-489.

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The article presents the results of the study of the road traffic safety on the automobile roads of the Republic of Kazakhstan. We performed the analysis of the main indicators, specifying the state of the road traffic safety on the automobile roads of the republican significance of the Republic of Kazakhstan. In many regulatory acts, such as “The Priority Action Plan for Improving the Road Traffic Safety of the Republic of Kazakhstan for 2017–2020”, developed with the support of the Asian Development Bank, and in the “National Concept of Road Traffic Safety” project as well , developed by the Interdepartmental Research Institute called “The Academy of Law Enforcement Agencies” of the General Prosecutor’s Office of the Republic of Kazakhstan, the urgent need to improve road traffic safety is clearly pointed. At the same time, it is necessary to have the information about the extent of the existing problem in the field of road traffic safety, which is ensured by the constant consideration and analysis of the statistical indicators, as well as by planning appropriate measures aimed at correcting the situation and achieving planned indicators in the framework of, for example, the national concept of road traffic safety. Currently, statistics on road traffic accidents, occurring in Kazakhstan, are published by the Committee on Statistics of the Republic of Kazakhstan and the Committee on Legal Statistics and Special Accounting. However in the current situation, this is not enough, especially since the ARC MIID of the Republic of Kazakhstan outlined the program of actions aimed at eliminating the existing shortcomings in the field of the road traffic safety and significant improving its indicators. The analytical investigation of the status of the road traffic safety on the roads of the Republic of Kazakhstan was carried out. This will become a kind of starting point in the consistent work in this direction, which will provide the interested parties, first of all the experts, with the high-quality and reliable information about the main figures, characterizing the state of safety of the road users. Based on objective accident data, it is possible to take the effective measures aimed at improving the situation on the roads of the Republic of Kazakhstan.

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Baniya, Sujeeta, and Arati Timilsina. "Knowledge and Practice of Road Safety Rules and Regulations among Secondary School Students." Prithvi Academic Journal 1, no. 1 (May 31, 2018): 23–33. http://dx.doi.org/10.3126/paj.v1i1.25897.

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Road traffic accidents are increasing in alarming ways. During adolescence period driving for curiosity, careless driving, and peer pressure are most common resulting high road traffic accidents. The main objective of the study was to explore the knowledge and practice of road safety rules and regulations. A descriptive cross sectional study design was used to conduct the study. Non-probability quota sampling technique was used to select 240 respondents from 800 students of class 11 and 12 from Pokhara Secondary School. Self-administered questionnaire was used to collect the information from respondents. The obtained data was entered on SPSS 16 version program and analyzed and interpreted by using descriptive statistics and inferential statistics. The findings revealed that more than half (59.2%) of the respondents had moderately adequate knowledge. Nearly three-forth (70.4%) of the respondents had average practice as a pedestrian and 75.7 percent of the respondents as a driver had average practice. Only 7.5 percent of the respondents were exposed to road traffic accident and high speed was the main cause of accident. More than three quarter (75.7%) had always driven vehicles without license. There was significant association (p=0.034) between the faculty of respondents (science and management) and level of knowledge of respondents on road safety rules and regulations. The study concluded that there was moderate level of knowledge and average level of practice of both drivers and pedestrians on road safety rules and regulations among secondary school students. It therefore suggests awareness programs on road safety rules and regulations are significant or school students to promote safety.

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Li, Qiao Ru, Liang Chen, Chang Guang Cheng, and Yue Xiang Pan. "A Traffic Accident Predictive Model Based on Neural Networks Algorithm and Rough Set Theory." Applied Mechanics and Materials 97-98 (September 2011): 947–51. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.947.

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The most important and critical step to improve road traffic safety is prediction and identification of traffic accident black spot. A new prediction model of traffic accident black spots is proposed based on GA-BP neural network algorithm and rough set theory. First of all, the traffic accident statistics of Jinwei Road in Tianjin are analyzed. With consideration of static road conditions, the samples of road accident black spots are obtained by the GA-BP neural network algorithm. Furthermore, an effective road traffic accident black spot prediction model is established by utilizing rough set theory with consideration of the impact of real time dynamic conditions. Finally, a numerical example is illustrated. Experimental results show that the proposed model with the combination of these two theories can reduce the hybrid and burdensome amount of data, lower the false alarm rate and improve the forecasting accuracy of accident black spots.

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Drapalyuk, Mikhail, Vladimir Zelikov, Gennadiy Denisov, N. Zlobina, and Natal'ya Zelikova. "INVESTIGATION AND ANALYSIS OF EMERGENCY SITUATIONS ON THE PERMANENT HIGHWAYS." Forestry Engineering Journal 11, no. 2 (July 1, 2021): 108–20. http://dx.doi.org/10.34220/issn.2222-7962/2021.2/11.

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The statistics of road traffic accidents in general on federal and forest roads of the Russian Federation, as well as with the participation of large wild animals, have been considered. An analysis of the number of incidents reported in various official sources of information has been made. Significant underestimation of the main accident rates was noted, especially with the participation of wild animals on forest roads. The features of the investigation and examination of accidents involving pedestrians and wild animals, taking into account the requirements of the RF Traffic Rules, are described. Deficiencies in the requirements of the RF Traffic Rules have been identified. Possible variants of hazardous traffic situations on forest road sections have been considered. A deterministic analysis of possible variants of a vehicle collision with a wild animal has been carried out. The speed of movement of a vehicle on an emergency-dangerous section of the road has been determined, which allows the driver to timely apply emergency braking to prevent a collision with an animal. Additions to the Traffic Rules of the Russian Federation have been proposed, aimed at ensuring safety on emergency-hazardous sections of highways and forest roads

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Mukul, Manas Kumar. "Real-Time Helmet Detection of Bike Riders." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1228–31. http://dx.doi.org/10.22214/ijraset.2021.35176.

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Due to the affordability and ease in availability the motorcycle has seen a huge increase in its popularity. However, the rapid growth of motorcycle accidents is very alarming. According to the statistics given by the Ministry of Road Transport and Highway, amongst the road user categories, two-wheelers with a share of 37% constitute the largest number of road accident deaths (56,136) in 2019. To reduce the rate of accidents, the helmet is made compulsory for all riders. However, many riders ignore this rule. This paper aims to design a system for real-time detection of motorcyclists without helmets using the object detection-algorithms YOLO (You Only Look Once) to help solve the issue.

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Journal articles on the topic 'Road accident statistics'

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