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Journal articles on the topic 'Analysis of road accidents'
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1
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.
11
Sun, Jian Cheng, and Lin Song Wang. "Road Macula Analysis and Evaluation." Applied Mechanics and Materials 97-98 (September 2011): 360–66. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.360.
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The subject Introduced the analysis method of the black-spot, established the black-spot discriminant model, And gave its algorithm. According to the characteristics of China's traffic flow, we develope black-spot database, so that the work of the black-spot identification can be quickly carried out。The Road black-spot traffic accidents describes the road sections which have significantly higher accident rate than the average level . Road black-spots identification, analysis and processing are widely considered to be the most efficient way to prevent traffic accidents. The identification of Road accident black-spots is the concern of road design, road safety review, operation management, and security studies , The research studies of road black-spot identification,and determines risk road sections, so that countermeasures can be put forward, and we can achieve the goals of design improvement, strengthen management, improvement of road safety operation environment, decrease of the number of traffic accidents and improvement of the whole road traffic safety performance.
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Joni, Hasan H., Ali Majeed Al-Dahawi, and Omar Jabbar Al-Tamimi. "Analysis of Road Accidents in Baghdad City." Association of Arab Universities Journal of Engineering Sciences 26, no. 1 (March 31, 2019): 136–44. http://dx.doi.org/10.33261/jaaru.2019.26.1.018.
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Road traffic accidents (RTAs) have turned out to be a huge global public health and development problem causing enormous economic and social costs. Therefore RTA has become a major concern and analyzing accident data has been an important look out to the analysts in order to find the major factors related to the accidents, and to predict the future road accidents in order to mitigate and/or eliminate them in the future.The study revealed that the main contributing factor is the human. The predominant type of crashes was run over with 53% of the total crashes.Approximately, 53% of crashes occurred on major roads, 58% of crashed occurred during day time, drivers with group ages between 24 – 29 years’ experience more crashes, and single vehicle accidents result in more casualty (fatality and injuries) compared to multi-vehicleaccidents. The most important resultobtainedfrom this study, a prediction model which link accidents with the number of registered vehicles and population.
13
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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Timofeeva, Svetlana S., Semen S. Timofeev, and Aleksey А. Taskaev. "Risks of road accidents in Irkutsk region." XXI century. Technosphere Safety 5, no. 4 (December 2020): 411–20. http://dx.doi.org/10.21285/2500-1582-2020-4-411-420.
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The article deals with the issue of road safety. The aim is to analyze the accident rate on the roads of rkutsk region and assess the risk of road traffic accidents (RTA). The research is based on statistical data. A comparative analysis of the risks of road accidents and the risks of death of road users is carried out. The risk of death in accidents is higher in Slyudyanka district than in Irkutsk region, which is due to the complex route and mountainous areas. The damage caused by road traffic accidents is increasing every year.
15
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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Demasi, Francesca, Giuseppe Loprencipe, and Laura Moretti. "Road Safety Analysis of Urban Roads: Case Study of an Italian Municipality." Safety 4, no. 4 (December 1, 2018): 58. http://dx.doi.org/10.3390/safety4040058.
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Attention to the most vulnerable road users has grown rapidly over recent decades. The experience gained reveals an important number of fatalities due to accidents in urban branch roads. In this study, an analytical methodology for the calculation of urban branch road safety is proposed. The proposal relies on data collected during road safety inspections; therefore, it can be implemented even when historical data about traffic volume or accidents are not available. It permits us to identify geometric, physical, functional, and transport-related defects, and elements which are causal factors of road accidents, in order to assess the risk of death or serious injuries for users. Traffic volume, average speed, and expected consequences on vulnerable road users in case of an accident allow us to calculate both the level of danger of each homogeneous section which composes the road, and the hazard index of the overall branch. A case study is presented to implement the proposed methodology. The strategy proposed by the authors could have a significant impact on the risk management of urban roads, and could be used in decision-making processes to design safer roads and improve the safety of existing roads.
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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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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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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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Primasworo, Rifky Aldila, and Andy Kristafi Arifianto. "Analisis Titik Rawan Kecelakaan di Jalan Kertanegara Kabupaten Malang." Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil 10, no. 1 (June 10, 2021): 27–35. http://dx.doi.org/10.35139/cantilever.v10i1.89.
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Kertanegara is one of the roads in Malang Regency. The location of Kartanegara Road is considered to be one of the locations prone to accidents due to the lack of traffic infrastructures such as signs and road markings. The road is also an alternative highway that connects Malang Regency to Batu City. The data obtained shows that traffic accidents amounted to 43 of all types of traffic violations from 2016-2018. In 2016, 2017, and 2018, the number of accident victims was 18 accidents, 9 accidents, and 16 accidents. The purpose of this study is to determine the characteristics of Kertanegara road, accident-prone points, and solutions used to reduce the number of accidents. The analytical method used is the analysis of road characteristics, Z-Score, and Cusum analysis. The results obtained that service level of Kertanegara road is 0.61 where the flow is stable, the traffic density is moderate. Based on the analysis of the determination of accident-prone points, the result of Kartanegara road segment, Malang Regency, has a Z-Score for segment I of 0.25 and segment II of 0.17 which is included in the accident-prone criteria because it has a positive Z-Score. Kartanegara Road has also been identified as a black spot because it has a positive cusum value, including the Cusum segment I values of 7.00 and segment II of 13.3. The solution is to provide a traffic sign in the form of a traffic light at the intersection of Police Karangploso road and the intersection of Sentana road, providing management officer traffic flow in Simpang Nuril road and providing warning signs that are prone to accidents and vehicle speed limit at the Crossroads Kauman I and intersection Nuril road.
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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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Sari, Beti Irma, and Danny Setiawan. "Analisis Keselamatan Lalu Lintas Jalan Tol Ngawi-Kertosono Studi Kasus Ruas Madiun-Caruban dan Ruas Caruban-Wilangan." Rekayasa Sipil 14, no. 1 (February 15, 2020): 1–9. http://dx.doi.org/10.21776/ub.rekayasasipil.2020.014.01.1.
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Toll roads can reduce travel time to be shorter, easier, more convenient, and smooth. However, many road users neglact safety because it’s too comfortable with road conditions that are straight, smooth, and without obstacles. Many road users who drive vehicles exceed the required traffic signs, causing traffic accident. Within 10 months of the operation of the Ngawi-Kertosono toll road on April 1, 2018, until February 24, 2019, traffic accidents reached 59 accidents on the Madiun-Wilangan toll road. From these data, it’s necessary to study the causes of toll road traffic accidents in accident-prone areas. As a first step, it’s necessary to determine the black site and black spots and the relationship between the geometric factors of the road to reduce the number of traffic accidents on the Madiun-Wilangan toll road. This calculation analysis uses the Z-Score and Cusum method by finding the black spot and black site areas. Based on the results of the analysis there are accident-prone areas on the toll road that is from KM 602 to 622 where the Z-Score is 1.733> 0 and Cusum 7.64> 0 so that the accident-prone area can be found on the Black Site and Black Spot results on the road location Madiun, Caruban and Caruban-Wilangan toll road. Suggestions from research need to be conducted outreach or outreach related to traffic and road safety regulations that often have accidents.
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Sadauskas, Vigilijus. "INVESTIGATION OF ROAD ACCIDENTS ON LITHUANIAN STATE ROADS." TRANSPORT 21, no. 4 (December 31, 2006): 289–92. http://dx.doi.org/10.3846/16484142.2006.9638082.
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Fast development of the number of vehicles is closely related to large benefit for the public and also to certain undesirable large numbers of injured and killed people involved in the accidents. What must be done? It is necessary in the nearest future to improve traffic safety situation in Lithuania. This can be reached after the detailed evaluation of accident analysis and investigations. Only a systematic and consistent approach to comprehensive traffic accident analysis can reduce the losses of lives and property in road traffic. This approach can be summarized in basic action ‐ to establish the accident analysis and investigation groups.
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Wang, Meina, Jing Yi, Xirui Chen, Wenhui Zhang, and Tiangang Qiang. "Spatial and Temporal Distribution Analysis of Traffic Accidents Using GIS-Based Data in Harbin." Journal of Advanced Transportation 2021 (September 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/9207500.
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Road traffic safety is a social issue of widespread concern. It is important for traffic managers to understand the distribution patterns of road traffic accidents. To this end, this study examines the spatial and temporal patterns of road traffic accidents from both accident frequency and accident severity perspectives. Road traffic accident data from 2016 to 2018 in Harbin, China, were used for the analysis. First, the spatial localization of accidents was completed using geocoding, and the localized accident data were classified by season. Then, density analysis was performed both with and without considering road network density. The results of the density analysis showed that when road network density was considered, accidents were mainly distributed in urban centers, while accidents were more dispersed when road network density was not considered. Third, a cluster analysis considering accident severity found that low-severity accident clusters occurred mostly in urban centers. High-severity accident clusters were mostly present in suburban areas. Finally, the results of these two methods are shown by using the comap technique. Areas of the city with a high frequency and severity of crashes in each season were identified. This study will help traffic management to have a more visual and intuitive understanding of the urban traffic safety situation and to take targeted measures to improve it accordingly.
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Rifai, Andri Irfan, and Eka Satria Aulia. "Analysis of Factors Causing Traffic Accidents on Sultan Agung Street, Bekasi." Neutron 18, no. 2 (January 31, 2019): 1–9. http://dx.doi.org/10.29138/neutron.v18i2.73.
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Sultan Agung Street is the main road in Bekasi City which has a length of 5.5 km. On the Sultan Agung Street, there are many settlements and public facilities. However, this condition was not matched by adequate road infrastructure and public transportation facilities and infrastructure. This causes an increase in the volume of traffic and potential for accidents on Sultan Agung street. The purpose of this study was to determine the dominant causal factors of accidents and to determine efforts to prevent accidents on Jalan Raya Sultan Agung with the Upper Control Limit (BKA) and Upper Control Limit (UCL) methods. Based on the analysis of Sultan Agung Bekasi Street included in the category of accident-prone roads because there are two road segments having AEK values exceeding the BKA and UCL values. The coordinate point of the location with the highest AEK value is the third segment with an AEK value of 195 where the BKA value is 122,894 and the UCL value is 119,333. The most common type of accident is a Front-Rear hit by 37.5% of the total number of accidents. Time of accidents most often occurs at night with a percentage of 56% of the number of accidents.
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Soltani, Ali, and Sajad Askari. "Analysis of Intra-Urban Traffic Accidents Using Spatiotemporal Visualization Techniques." Transport and Telecommunication Journal 15, no. 3 (September 1, 2014): 227–32. http://dx.doi.org/10.2478/ttj-2014-0020.
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Abstract Road traffic accidents (RTAs) rank in the top ten causes of the global burden of disease and injury, and Iran has one of the highest road traffic mortality rates in the world. This paper presents a spatiotemporal analysis of intra-urban traffic accidents data in metropolitan Shiraz, Iran during the period 2011-2012. It is tried to identify the accident prone zones and sensitive hours using Geographic Information Systems (GIS)-based spatio-temporal visualization techniques. The analysis aimed at the identification of high-rate accident locations and safety deficient area using Kernel Estimation Density (KED) method. The investigation indicates that the majority of occurrences of traffic accidents were on the main roads, which play a meta-region functional role and act as a linkage between main destinations with high trip generation rate. According to the temporal distribution of car crashes, the peak of traffic accidents incident is simultaneous with the traffic congestion peak hours on arterial roads. The accident-prone locations are mostly located in districts with higher speed and traffic volume, therefore, they should be considered as the priority investigation locations to safety promotion programs.
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Nagrebelna, Liydmila. "LINEAR ANALYSIS AS THE BEST METHOD OF DETECTION DANGEROUS ROAD SECTIONS." Avtoshliakhovyk Ukrayiny, no. 2 (258) ’ 2019 (June 27, 2019): 50–56. http://dx.doi.org/10.33868/0365-8392-2019-2-258-50-56.
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The main factors affecting road safety are outlined. The main methods of road accident analysis are presented, which will allow accurate determination of areas of high danger. By distributing road traffic accidents along the length of the road, it is possible to identify such areas and areas where road conditions have a dominant influence on the emergence of accidents, which is important in planning measures to improve traffic safety. It is proved that the effectiveness of the result depends on the precisely defined areas where first of all it is necessary to implement measures to improve road safety. It is completely impossible to predict the occurrence of traffic accidents because many different factors influence them. These factors relate both to traffic conditions on the motorway and to the impact of the traffic flow itself, a separate vehicle, a human factor, weather conditions etc. Therefore, there is a need for a comprehensive approach in solving a complex problem is increasing road safety. The purpose of this article is to: reduce the number of accidents and their victims on the highways of Ukraine by means of the priority implementation of measures to improve road conditions and improve the organization of traffic on highway sections of high danger identified by the results of linear analysis of accidents. Linear accident analysis provides an opportunity not only to effectively and reasonably plan events, but also to evaluate the outcome of their implementation. Reducing the number of traffic accidents and their victims in highway sections of high danger identified by the results of linear accident analysis is the best method for creating safe traffic conditions. Purposeful financing of measures aimed primarily at eliminating the most dangerous in terms of accident rate of road sections and the main risk factors of an accident will allow to reduce the number of accidents and the severity of their consequences. Keywords: road safety, linear analysis, methods of analysis.
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Fariska, Debi, and Sri Wiwoho Mudjanarko. "ANALYSIS OF TRAFFIC ACCIDENTS IN THE DISTRICT GRESIK (Case Study: Road Duduksampeyan Sta km 16 + 000 - Sta km 16 + 500)." IJEEIT : International Journal of Electrical Engineering and Information Technology 3, no. 2 (October 1, 2020): 1–7. http://dx.doi.org/10.29138/ijeeit.v3i2.1157.
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Traffic accident is an accident that occurs unexpectedly and unintentionally involving a vehicle which resulted in casualties and material damage. The problem of traffic accidents on the road Duduksampeyan Sta km 16 + 000 - Sta km 16 + 500 is the most significant. The purpose of this study was conducted to determine the level of traffic accidents that occurred in 2013-2018. This study uses a method that refers to the calculation of the number of accidents. The observations in the field of road safety facilities are still inadequate, lighting is in only one side of the road as much as ± 10 pieces, and the absence of traffic signs (speed limits, accident-prone areas, etc.). The volume of daily traffic averages on these roads as much as 3833 veh / hour. The results of the analysis carried accident rate by 158 the highest annual accident / km occurred in 2018. Meanwhile, based on the fatality index, it was 47.76%, the highest in 2013.
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Voevodin, Evgeniy Sergeevich, Kristina Vyacheslavovna Baklanova, Nikolay Viktorovich Shadrin, Andrey Mikhaylovich Askhabov, and Andrey Sergeevich Polyakov. "Audit of road traffic safety on federal roads of Krasnoyarsk Territory." Transport of the Urals, no. 1 (2020): 57–62. http://dx.doi.org/10.20291/1815-9400-2020-1-57-62.
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The paper considers an assignment and an essence of audit of road traffic safety. As an example, the authors have determined a priority section on federal roads of Krasnoyarsk Territory for conducting the audit. On the basis of detailed analysis of road conditions that affect the risk of accidents appearance and research of road traffic accidents mechanism on that section the authors have developed measures on decreasing accident rate. Efficiency of the proposed measures are verified with the use of PC–Crash program for modeling and reconstruction of road traffic accidents.
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Pechatnova, E. V., and K. E. Safronov. "Precipitation influence assessment on accidents risk outside built-up areas." Russian Automobile and Highway Industry Journal 17, no. 4 (August 28, 2020): 512–22. http://dx.doi.org/10.26518/2071-7296-2020-17-4-512-522.
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Introduction. The Road Traffic Safety Strategy in the Russian Federation for 2018-2023 includes the tasks of reducing an accident rate, among which the problem of accidents outside built-up areas is highlighted. The accidents outside built-up areas are characterized with high severity of consequences. The analysis of accident factors is necessary for the development of methods to improve road safety by preventing road accidents.Determining functional dependence is necessary for the development of information road safety management systems.The article is devoted to the study of the influence of precipitation amount on the change in the risk of road accidents.Materials and methods. The study applied a relative risk analysis, which is calculated by comparing observed variables of two groups: total rainfall data (climatic frequencies) and accident sampling (frequency at time of accident).The study bases on the data of road accidents with victims and material damage that have been registered on the А-322 road (Barnaul – Rubtsovsk – the state border with the Republic of Kazakhstan) during the period from 2012 to 2017.Results. A graph functional dependence and piece wise linear functional dependency were obtained. As the result of approximation, functional dependencies in the form of third-order polynomial function were found.Practical importance. The obtained functional dependencies can be used in the management system to assess the current risk of road accidents on roads outside build-up areas. The regularity of the influence of precipitation on the risk of road accidents can be used to implement accident prevention measures at the stage of road design and operation.Originality. The study contains new results on the nonlinear form of the functional dependence of the amount of precipitation on the risk of road accidents.
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Iqbal, Asad, Zia Ur Rehman, Shahid Ali, Kaleem Ullah, and Usman Ghani. "Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway." Civil Engineering Journal 6, no. 12 (December 1, 2020): 2448–56. http://dx.doi.org/10.28991/cej-2020-03091629.
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Road safety is the main problem in developing countries. Every year, millions of people die in road traffic accidents, resulting in huge losses of humankind and the economy. This study focuses on the road traffic accident analysis and identification of black spots on the Lahore-Islamabad Highway M-2. Official data of road traffic accidents were collected from National Highway and Highway Police (NH & MP) Pakistan. The data was digitized on MS Excel and Origin Pro. The accident Point weightage (APW) method was employed to identify the black spots and rank of the top ten black spots. The analysis shows that the trend of road traffic accidents on M-2 was characterized by a high rate of fatal accidents of 35.3%. Human errors account for 66.8% as the major contributing factors in road traffic accidents, while vehicle errors (25.6%) and environmental factors (7.6%) were secondary and tertiary contributing factors. The main causes of road traffic accidents were the dozing on the wheel (27.9%), the careless driving (24.6%), tyre burst (11.7%), and the brakes failure (7.4%). Kallar Kahar (Salt Range) was identified as a black spot (223 km, 224 km, 225 km, 229 km, and 234 km) due to vehicle brake failure. The human error was a major contributory factor in road traffic accidents, therefore public awareness campaign on road safety is inevitable and use of the dozen alarm to overcome dozing on the wheel. Doi: 10.28991/cej-2020-03091629 Full Text: PDF
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Mishra, Divya. "A Review on Impact Analysis of Accident Using AI." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 2 (June 4, 2021): 1–4. http://dx.doi.org/10.54060/jieee/002.02.005.
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In recent years, road collisions have become a global problem and have been classified as the 10th leading cause of death in the world. Due to the large number of road losses consistently, it has become a major problem in Bangladesh. It is totally unacceptable and sad to allow a citizen to kill in a road accident. The purpose is to show you how to extract logical data from a raw database and visualize it. The results show that hourly planning, day-to-day intelligence, lunar intelligence and year-round planning allow you to look at how road accidents change over time. Two types of road accidents have occurred in particular, and data analysis of road accidents have led to conclusions that will help reduce the number of accidents.
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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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PIENIAK-LENDZION, Krystyna. "THE ANALYSIS OF ROAD ACCIDENTS AND SELECTED ASPECTS OF POLISH ROAD SAFETY." Scientific Papers of Silesian University of Technology. Organization and Management Series 2019, no. 138 (2019): 221–30. http://dx.doi.org/10.29119/1641-3466.2019.138.17.
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Chaudhari, Dvij. "Modelling Road Accident using Poisson regression Models." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4635–40. http://dx.doi.org/10.22214/ijraset.2021.35827.
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The objective of this research is to evaluate the safety of multi-lane urban roads in India. In this paper, a generalised linear modelling technique is applied for the analysis of the Indian Highway's road accident. The features of road, speed, and traffic data are analysed in Surat on four-lane urban roads. A novel approach to the model of accident prediction for an urban highway is being proposed to include daily average travel (ADT) and average spot speed (AS). The model was developed as a reliant variable and significant variables such as chain width, intersection no, ADT, AS, as separate variables for accidents per kilometre.. The results of the model provide a better assessment of accidents on a multilateral urban road. Because road accidents are different, statistical models do not adequately capture the characteristics of each section. As a result, the results of Poisson regression were the opposite of these variables. There was also no statistically significant type of traffic control. Significant statistically at level 0.05. Accident locations were assessed by correlating the severity of the accident with different attributes. This investigation will contribute to improving urban road safety.
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Shen, Ling, Jian Lu, Man Long, and Tingjun Chen. "Identification of Accident Blackspots on Rural Roads Using Grid Clustering and Principal Component Clustering." Mathematical Problems in Engineering 2019 (January 21, 2019): 1–12. http://dx.doi.org/10.1155/2019/2151284.
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Identifying road accident blackspots is an effective strategy for reducing accidents. The application of this method in rural areas is different from highway and urban roads as the latter two have complete geographic information. This paper presents (1) a novel segmentation method using grid clustering and K-MEDOIDS to study the spatial patterns of road accidents in rural roads, (2) a clustering methodology using principal component analysis (PCA) and improved K-means to create recognition of road accident blackspots based on segmented results, and (3) using accidents causes in police report to analyze recognition results. The proposed methodology will be illustrated by accident data in Chinese rural area in 2017. A grid-based partition was carried on by using intersection as a basic spatial unit. Appended hazard scores were then added to the segments and using K-means clustering, a result of similar hotspots was completed. The accuracy of the results is verified by the analysis of the cause extracted by Fuzzy C-means algorithm (FCM).
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Dermawan, Widodo Budi, Muhammad Isradi, and Pawaztris Pawaztris. "Analysis Of Accident Prone Areas Along Jenderal Ahmad Yani Road In Bekasi." Journal of Applied Science, Engineering, Technology, and Education 1, no. 2 (February 1, 2020): 124–30. http://dx.doi.org/10.35877/454ri.asci1239.
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Based on the results of the analysis of accident prone locations on Jenderal Ahmad Yani road in 2015-2018 using the Equivalent Accident Number (EAN) method, the location that are identified as accident prone is at coordinates 6.2444641- -6.2356937 (crossing area of the Jenderal Ahmad Yani road with the Burang Rang Raya road – Overpass that leads to the Summarecon Bekasi iconic roundabout), with as many as 40 accidents. The number of death caused by traffic accident are as many as 13 people, seriously injured as many as 7 people, minor injuries as many as 46 people, and experience material loss of 37 objects and a maximum of Rp 80.800.000.- . The most dominant cause of accidents on Ahmad Yani road Bekasi in 2015-2018 is human error with 74% percentage and 26% due to vehicle error with total of 40 accidents.
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Ma, Xiaoli, Yingying Xing, and Jian Lu. "Causation Analysis of Hazardous Material Road Transportation Accidents by Bayesian Network Using Genie." Journal of Advanced Transportation 2018 (August 5, 2018): 1–12. http://dx.doi.org/10.1155/2018/6248105.
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With the increase of hazardous materials (Hazmat) demand and transportation, frequent Hazmat road transportation accidents had arisen the widespread concern in the community. Thus, it is necessary to analyze the risk factors’ implications, which would make the safety of Hazmat transportation evolve from “passive type” to “active type”. In order to explore the influence of risk factors resulting in accidents and predict the occurrence of accidents under the combination of risk factors, 839 accidents that have occurred for the period 2015–2016 were collected and examined. The Bayesian network structure was established by experts’ knowledge using Dempster-Shafer evidence theory. Parameter learning was conducted by the Expectation-Maximization (EM) algorithm in Genie 2.0. The two main results could be likely to obtain the following. (1) The Bayesian network model can explore the most probable factor or combination leading to the accident, which calculated the posterior probability of each risk factor. For example, the importance of three or more vehicles in an accident leading to the severe accident is higher than less vehicles, and in the absence of other evidences, the most probable reasons for “explosion accident” are vehicles carrying flammable liquids, larger quantity Hazmat, vehicle failure, and transporting in autumn. (2) The model can predict the occurrence of accident by setting the influence degrees of specific factor. Such that the probability of rear-end accidents caused by “speeding” is 0.42, and the probability could reach up to 0.97 when the driver is speeding at the low-class roads. Moreover, the complex logical relationship in Hazmat road transportation accidents could be obtained, and the uncertain relation among various risk factors could be expressed. These findings could provide theoretical support for transportation corporations and government department on taking effective measures to reduce the risk of Hazmat road transportation.
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Akuh, Raymond, and Charles Atombo. "Road Transport Accident Analysis from A System-Based Accident Analysis Approach Using Swiss Cheese Model." International Journal of Engineering Education 1, no. 2 (December 15, 2019): 99–105. http://dx.doi.org/10.14710/ijee.1.2.99-105.
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Road safety has become a major concern to both developed and developing countries due to its negative economic impacts. Although, numerous approaches of accident analysis have been conducted, there seem to be an increase in road crashes every year. The main aim of this study is to analyse a driving school accident using a system-based accident analysis approach. The data for the study was collected using an interview. A Swiss Cheese Accident Causation Model was used to identify the factors that contributed to the accident. The study identified four weaknesses in the system defences of the driving school that created a possible accident trajectory. It is concluded that adopting system-based accident analysis approach in analysing road transport accidents, could lead to a greater understanding of latent conditions and road user error, which in turn could inform the development of intervention strategies within a road transport domain as suggested by other studies. Finally, the short falls of using only person approach of accident analysis in road transport domain are also highlighted.
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Żukowska, Joanna, and Paweł Słomiński. "Analysis and design improvement of high class roads’ arched sections in Poland." E3S Web of Conferences 63 (2018): 00003. http://dx.doi.org/10.1051/e3sconf/20186300003.
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Although Polish road network standards, in particular higher classes of roads are improving dynamically the number of fatalities on the network is still higher that EU’s average. Ensuring road safety and high maintaining standards is a complex issue and one that poses a major challenge for all road authorities. Road accidents at high speed roads characterize specially serious material and social consequences, thus research into road safety is of a special interest and numerous analyses and debates are being conducted worldwide as well as in Poland. In this paper the authors provide the results and recommendations coming from the analysis of accidents which happened on high speed roads during the heavy rainfall. The analysis of incidents which happened on sections with changing vertical alignment shows that a properly designed road geometry does not eliminate road accidents or conflicts.
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Maslina, Maslina, and Bima Dhevrando. "ANALISIS KESELAMATAN LALU-LINTAS JL.SOEKARNO HATTA BALIKPAPAN." INFO-TEKNIK 20, no. 1 (June 20, 2020): 1. http://dx.doi.org/10.20527/infotek.v20i1.6951.
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Soekarno Hatta Road is one of the road shaft beetween Balikpapan and Samarinda which has 119 kilometres long. This road is province roads that had been through out or passed by with typical heavy and light vehicles which has high intensity accident level. This research is aimed to devise factor and characteristic of accidents along Sokearno Hatta roads from zero kilometres until 13th kilometres.
This research begun with roads survey observation and secondary data collection including with roads accidents documents for the pass 3 years.( which is in years of 2015 – 2017). Data analysis prepared with calculating numbers of accidents using formula EAN (Equivalent Accidents Number) and UCL Method (Upper Control Limit) for determination area with high risk accidents (Black Spot). Anatomy Accidents Data Documents were enumerated to analyze in that specified area. That can be conclude that the numbers of accidents on Soekarno Hatta Street from zero kilometres until 13th kilometreswith EAN method i.g : more than 84 times bigger different from UCL value i.g: 43,3. Accidents that was happened in the mornings at weekdays Monday to Friday which were implicate 2 motorcycles and passenger in fifthteen till twenty years old students (boys).
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Zou, Xin, and Wen Long Yue. "A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica." Journal of Advanced Transportation 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/2525481.
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Based on an overall consideration of factors affecting road safety evaluations, the Bayesian network theory based on probability risk analysis was applied to the causation analysis of road accidents. By taking Adelaide Central Business District (CBD) in South Australia as a case, the Bayesian network structure was established by integrating K2 algorithm with experts’ knowledge, and Expectation-Maximization algorithm that could process missing data was adopted to conduct the parameter learning in Netica, thereby establishing the Bayesian network model for the causation analysis of road accidents. Then Netica was used to carry out posterior probability reasoning, the most probable explanation, and inferential analysis. The results showed that the Bayesian network model could effectively explore the complex logical relation in road accidents and express the uncertain relation among related variables. The model not only can quantitatively predict the probability of an accident in certain road traffic condition but also can find the key reasons and the most unfavorable state combination which leads to the occurrence of an accident. The results of the study can provide theoretical support for urban road management authorities to thoroughly analyse the induction factors of road accidents and then establish basis in improving the safety performance of the urban road traffic system.
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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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Ćosić, Mario, Ljupko Šimunović, and Marijan Jakovljević. "Relationships Between External Factors and Pedestrian Accident Blackspots – A Case Study of the City of Zagreb." PROMET - Traffic&Transportation 31, no. 3 (June 13, 2019): 329–40. http://dx.doi.org/10.7307/ptt.v31i3.3119.
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Traffic accidents represent a social, health and political challenge in every country. Urban environments are characterized by intense traffic flows on the network, where different conditions resulting in interactions between motorised and non-motorised transport constantly occur, potentially increasing the risk of accidents. Although road accidents are considered as random events in space and time, a highly detailed analysis may establish correlations between road accidents and external factors (road infrastructure, traffic conditions, weather conditions, land use). This paper considers the impact of external factors on road accidents involving pedestrians in the City of Zagreb, which required an analysis of accident blackspots. The research conducted in this paper puts an emphasis on relations between external factors and accident blackspots involving pedestrians. The results can be used in planning pedestrian infrastructure and improving road safety.
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Akram Ramadan, Muhammad, and Martha Leni Siregar. "Analysis of accident fatalities on South Sulawesi Inter-urban Roads." E3S Web of Conferences 211 (2020): 02019. http://dx.doi.org/10.1051/e3sconf/202021102019.
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Traffic accidents are the fundamental yardstick for road safety. In South Sulawesi, particularly the four road sections which become the main focus of this study are Jeneponto-Bantaeng, Bantaeng-Bulukumba, Bulukumba-Tondong, and Sengkang-Impa-impa. Topographic conditions in South Sulawesi generally have various surfaces, including road sections area of this study focus. These various topographical conditions cause a chance of a traffic accident to occur at a certain point on the geometric features of the road, either on a straight or bend road/ curve road, grad (+) or grad (-), or the influence of the average International Roughness Index (IRI) value of a road. This study aims to analyze significant road geometric features that determine the fatality rate of the traffic accident. The results obtained from this study are significant factors of geometric road features that statistically affect and determine the fatality rate of traffic accidents; namely road geometry, road gradient, and IRI value, or with the conclusion is that all predictor variables are significant factors in influencing fatality rate of the traffic accident.
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Montoya-Alcaraz, Marco, Alejandro Mungaray-Moctezuma, Julio Calderón-Ramírez, Leonel García, and Cynthia Martinez-Lazcano. "Road Safety Analysis of High-Risk Roads: Case Study in Baja California, México." Safety 6, no. 4 (October 9, 2020): 45. http://dx.doi.org/10.3390/safety6040045.
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The objective of this research is to develop a useful procedure to assess and identify risks that promote accidents by road users, with the vision of improving safety through the implementation and technical employment of operative strategies. The relevance of this proposal lies in the fact that the issue of traffic accidents is a global problem. This project is located in the mountain range of Baja California, Mexico, in the Centinela–La Rumorosa highway and integrates accidental and pavement surface condition data, geometric design performance, analysis of traffic signals, and road safety devices present on the road using geodetic techniques. It is concluded that this procedure contributes to determining risk areas that promote accidents and generate a risk reduction plan to support future decision-making that guarantees better performance for road users. Furthermore, it is highlighted that the analysis of road safety must be a permanent process for those who operate, design, and build the road system.
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Bhalla, P., S. Tripathi, and S. Palria. "Road Traffic Accident Analysis of Ajmer City Using Remote Sensing and GIS Technology." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (December 23, 2014): 1455–62. http://dx.doi.org/10.5194/isprsarchives-xl-8-1455-2014.
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With advancement in technology, new and sophisticated models of vehicle are available and their numbers are increasing day by day. A traffic accident has multi-facet characteristics associated with it. In India 93% of crashes occur due to Human induced factor (wholly or partly). For proper traffic accident analysis use of GIS technology has become an inevitable tool. The traditional accident database is a summary spreadsheet format using codes and mileposts to denote location, type and severity of accidents. Geo-referenced accident database is location-referenced. It incorporates a GIS graphical interface with the accident information to allow for query searches on various accident attributes. Ajmer city, headquarter of Ajmer district, Rajasthan has been selected as the study area. According to Police records, 1531 accidents occur during 2009–2013. Maximum accident occurs in 2009 and the maximum death in 2013. Cars, jeeps, auto, pickup and tempo are mostly responsible for accidents and that the occurrence of accidents is mostly concentrated between 4PM to 10PM. <br><br> GIS has proved to be a good tool for analyzing multifaceted nature of accidents. While road safety is a critical issue, yet it is handled in an adhoc manner. This Study is a demonstration of application of GIS for developing an efficient database on road accidents taking Ajmer City as a study. If such type of database is developed for other cities, a proper analysis of accidents can be undertaken and suitable management strategies for traffic regulation can be successfully proposed.
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Zielińska, Edyta. "Analysis of the road accident rate in Lubelszczyzna and Podkarpacie." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (June 30, 2018): 322–26. http://dx.doi.org/10.24136/atest.2018.085.
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The article assesses two provinces of the south-eastern Poland, i.e. Lublin Province and Podkarpackie, taking into account the number of accidents, persons injured and the persons who caused the accident. In addition, the most common causes of such negative traffic incidents, i.e. speeding or weather conditions, are listed. For better evaluation of the safety on the roads of Lubelszczyzna and Podkarpacie, the road accident rate in the said provinces was compared with the national average. Also, the actions taken to improve the traffic safety on Polish roads were presented.
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Meng, Xiang Ru. "Analysis of Safety Index System on Road Transport of Dangerous Goods." Advanced Materials Research 108-111 (May 2010): 777–82. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.777.
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With the improvement of national economy and living standards of the people，the demand for transport of dangerous goods is greater and greater, the traffic volume of the road dangerous goods is rising constantly. The accidents of road transport of dangerous goods happen frequently, the extent of injury that the accident causes is more and more serious, the accidents destroy and pollute the environment seriously，threaten people’s lives and properties seriously, cause the serious economic losses. This papter is to set up the indicator system of safety evaluation of road transport of dangerous goods, and put forward the countermeasure of our country’s road transport of dangerous goods pointedly, offer real guidance for carrying on road transport of dangerous goods, reduce the emergence of traffic accident of road transport of dangerous goods.
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Abdul Kudus Zaini and Abdussalam. "Potential Traffic Accident Analysis of Bangkinang – Rantau Berangin Road Riau Province, Indonesia." Journal of Innovation and Technology 2, no. 1 (April 25, 2021): 27–33. http://dx.doi.org/10.31629/jit.v2i1.3201.
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A traffic accident is an unexpected and unintentional event involving a vehicle with or without other road users, resulting in human casualties (minor injuries, serious injuries, and death) and property loss. In penel itian have taken vertebra way the segments road Bangkinang - Rantau Berangin KM 60 to KM 100 . This study aims for know se how much the level of traffic accidents in the area and for get The value of Accident Rate is Black Spot and Black Site on road Bangkinang-Rantau Berangin.The method used in this research is the Calculation Analysis method by identifying the Black Spot and Black Site based on the Accident Rate . The results of the analysis of data years 2014 - 2018 indicates that the segments road Bangkinang - Rantau Berangin can be identified value Accident rate which is Black Spot is the village of Pulau Gadang - Tanjung Alai with accident rate amounted to 2,069 and also the village of Tanjung Alai – Batu Bersurat with grades Accident rate amounted to 2,069. While for Accident rate against Black Site among others , namely the segment road Tanjung Alai – Batu Bersurat with Accident rate of 0.295 followed by the village of Pulau Gadang - Tanjung Alai is 0,258 and followed the village of Kuok - Village Lereng with Accident rate 0,240. From the analysis the researchers concluded that there are three locations which are the areas rawaan traffic accidents on roads Bangkinang - namely Rantau Berangin Village Tanjung Alai - Village Batu Bersurat , the village of Pulau Gadang - Tanjung Alai and villages Kuok - Village Lereng