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Journal articles on the topic 'Road accident'
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1
Lemke, Kerstin. "Road Safety in Tunnels." Transportation Research Record: Journal of the Transportation Research Board 1740, no. 1 (January 2000): 170–74. http://dx.doi.org/10.3141/1740-22.
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Roads in tunnels differ from comparable open-road sections in many respects. For most drivers a tunnel is an unusual driving environment in the road network that might even cause stress. A safety analysis was carried out to estimate average accident rates and accident cost rates for different cross sections of tunnels on German roads. The analysis is based on all the available accident data for German freeway and highway tunnels reported to police. Personal injury accidents and material-damage-only accidents were analyzed separately. The findings indicate that accident rates are lower for roads in tunnels. Moreover, accidents with severe personal injury and material damage are less frequent on roads in tunnels. However, the fear of a maximum credible accident still remains.
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Volchatova, I. V. "ACCIDENT RATE AND VICTIMS OF ROAD TRAFFIC IN A BIG CITY." World of Transport and Transportation 15, no. 4 (August 28, 2017): 202–13. http://dx.doi.org/10.30932/1992-3252-2017-15-4-18.
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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).ABSTRACT Based on the statistics of road accidents, an analysis of accident and injury rates on the roads of Irkutsk was carried out. It is shown that, for the most part, the causes of road accidents are violation of traffic rules by drivers and pedestrians, unsatisfactory road conditions. It was revealed that the greatest number of accidents occurs in the summer-autumn period. Most often, vehicle collisions and pedestrian collisions are recorded. About 40 % of road accidents with victims are committed in the foci of accident rate, the distribution of which directly depends on density of settlement of the territory and the functional specifics of the city’s administrative units. Keywords: motor transport, road traffic accident, accident rate on roads, foci of accident, severity of accident consequences, road safety.
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Zhang, Han Xin. "Analysis on Affection and Dissemination of Road Traffic Accidents." Advanced Materials Research 468-471 (February 2012): 200–203. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.200.
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Analysis for the road traffic accident is the dissemination of summary analysis of road traffic accidents, all types of traffic into the causes and recommends a system can reduce the effective theory of road traffic accidents. Road traffic system is a person, motor vehicles, the combined effect of the environment from the system. Road traffic safety depends on people, vehicles, roads, environment and road traffic management in all aspects of an integrated system for co-ordination. Characteristics for the occurrence of traffic accidents, road traffic accident on an analysis and research of the impact-spread of road traffic accident, to investigate the microscopic properties of a traffic accident on the traffic flow, emissions, noise impact and the dissemination of the law, analyzing the past, the scene of the accident the speed of other vehicles and drivers of the physical distribution psychological reaction to speed up the disposal of road traffic accidents, to reduce road traffic accidents on traffic flow and avoid the second derivative disasters, the elimination of road accident black spots, build a smart urban road traffic command system, to reduce pollutants in automobile exhaust emissions to protect the natural ecological environment, thus contributing to building a harmonious ecological city transport network.
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Wang, Jianjun, Sai Wang, Xueqin Long, Dongyi Li, Chicheng Ma, and Peng Li. "Ellipse-Like Radiation Range Grading Method of Traffic Accident Influence on Mountain Highways." Sustainability 14, no. 21 (October 23, 2022): 13727. http://dx.doi.org/10.3390/su142113727.
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To improve the efficiency of accident treatment on mountain highways and reduce the degree of disruption from traffic accidents, the grading method of the ellipse-like radiation range of traffic accident impact is proposed. First, according to the propagation law of traffic accidents, the general function of mountain highways affected by traffic accidents was constructed based on the Gaussian plume model. Then, based on the gravity field theory, the influence of the accident source point on the accident road was analyzed in the aftermath of a supposed accident. Additionally, considering the cascading failure of the road network, the influence of the accident-intersecting roads was demarcated by the cascading failure load propagation function. Based on this analysis, the ellipse-like radiation range models of traffic accidents on the accident road and the intersecting roads were proposed, respectively. Next, the adjustment parameter was further introduced to incorporate the different levels of influence of traffic accidents on the surrounding road network into the model, and the grading impacts of the accident on the potentially utilized opposite lane were discussed. Finally, according to the queuing theory model, simulation design, and portability analysis, the accuracy of the ellipse-like radiation range grading model was verified. The research results show that, compared with queuing theory and simulation results, the error of the grading model of the ellipse-like radiation range affected by traffic accidents was within a reasonable range; that is, the model can reasonably quantify the difference of traffic accident propagation on the accident road and the intersecting roads. Moreover, the heterogeneity of traffic accident propagation was verified by taking the non-occupied opposite lanes as an example. The grading method of influence radiation range utilized for traffic accidents on mountain highways can quickly provide corresponding auxiliary decision support for accident rescue within varying influence ranges.
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Bondar, Tetiana, Olga Belenchuk, Yevhen Tepliuk, and Oleksandr Pyna. "ACCIDENT ANALYSIS – THE WAY TO EFFECTIVE TRAFFIC SAFETY MANAGEMENT ON ROADS." Avtoshliakhovyk Ukrayiny, no. 2 (266) ’ 2021 (June 20, 2021): 46–52. http://dx.doi.org/10.33868/0365-8392-2021-2-266-46-52.
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Road safety management begins with a detailed analysis of accidents, which is reflected in Article 24 of the Law of Ukraine “On Road Traffic” which states that when performing repairs and maintenance of roads, streets and railway crossings road maintenance organizations in the first place should take measures for road safety on the basis of accounting and analysis of road accidents, results of inspections and surveys of roads, streets and railway crossings, and especially in emergency and dangerous areas and in places of concentration of road accidents. The problem of reducing the accident rate and reducing the number of victims of road accidents during the maintenance of roads has so far been solved mainly by identifying areas (places) of concentration of accidents with the development of measures to improve road conditions and improve the organization of traffic on them and conducting annual commission spring and autumn inspections of the road network by representatives of road organizations and the police. However, the areas of concentration of road accidents were not fully covered on the road network of local significance due to the lack of accurate reference of the places of accident in the accident registration cards, as well as they were not identified on the streets and roads of cities and other settlements due to the absence of any criteria for their identification and therefore the maximum efficiency from introduction of management of sites (places) of concentration of road accident isn’t reached. The article analyzes the criteria for determining the areas of concentration of accidents on public roads in different periods, examines the dynamics of the number of areas of concentration of accidents and considers other modern opportunities for effective traffic safety management, in particular, inspection (inspection) of existing roads.
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Kishore Kumar, K., Atmakuri Sravan Kumar, Sunkari Amarnadh Gupta, and Sure Venkata Naga Parvesh. "Smart alert for smart transportation." International Journal of Engineering & Technology 7, no. 1.7 (February 5, 2018): 146. http://dx.doi.org/10.14419/ijet.v7i1.7.10637.
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Road accident is mostly happened to a road user, though they happen quite often. The most unfortunate thing is that we don't learn from our mistakes on road. Most of the road users are quite well aware of the general rules and safety measures while using roads but it is only the laxity on part of road users, which cause accidents and crashes. Main cause of accidents and crashes are due to human errors. Many of the road accidents occurs in the human errors by overriding, drink and drive and don’t follow safety precautions on roads. Various national and international researchers have found these as most common behavior of Road drivers, which leads to accidents [4].So, we came up with an application to alert hospital emergency and cops. all the users can easily handle this application when accident emergency occur. In the same way we can save life of a person by occur road accident.
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Nidhi. R, Ms, and Ms Kanchana V. "Analysis of Road Accidents Using Data Mining Techniques." International Journal of Engineering & Technology 7, no. 3.10 (July 15, 2018): 40. http://dx.doi.org/10.14419/ijet.v7i3.10.15626.
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Road Accident is an all-inclusive disaster with consistently raising pattern. In India according to Indian road safety campaign every minute there is a road accident and almost 17 people die per hour in road accidents. There are different categories of vehicle accidents like rear end, head on and rollover accidents. The state recorded police reports or FIR’s are the documents which contains the information about the accidents. The incident may be self-reported by the people or recorded by the state police. In this paper the frequent patterns of road accidents is been predicted using Apriori and Naïve Bayesian techniques. This pattern will help the government or NGOs to improve the safety and take preventive measures in the roads that have major accident zones.
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Ramakrishna, Maanyam, and Bandaru Ramesh. "Identification and Mitigation of Blackspots and Implementation of An Advanced Traffic Management System on NH-216A (A Spur of National Highway-16)." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 345–56. http://dx.doi.org/10.22214/ijraset.2022.42177.
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Abstract: As the population is increasing day by day the number of vehicles is also increasing. As the number of vehicles is increasing, the number of accidents also increases. Analysis of previous data indicates that 66% of the accidents occur due to human error and 33% due to road parameters such as road and vehicle interaction, other road users, and environmental factors. Road safety has recently become a major concern in most modern societies. The identification of sites (black spots) that are more dangerous from an accident point of view can help in better scheduling road safety policies. The study includes the collection of accident data and prioritizing the accident-prone locations by using the Weighted Severity Index (WSI) method. This study includes the identification of Accidental Black Spots and improving these Accidental Black Spots by using ATMS. This project emphasizes accident studies on the National Highway-216A (Diwancheruvu to Siddantham) in East Godavari District, State of Andhra Pradesh, India. So the main aim of this study is, therefore, to identify the major accident black spots on National Highway -16 and mitigation of Accidental Black Spots by using Advanced Traffic Management System. Keywords: Accident, National Highway, Black Spots, Advanced Traffic Management System (ATMS), Weighted Severity Index (WSI).
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Sun, Chuan Jiao, Ru Yue Bai, and Yuan Yuan Yu. "Regression Analysis of Rural Road Traffic Accidents Causes." Applied Mechanics and Materials 97-98 (September 2011): 1042–45. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.1042.
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9238 traffic accidents data are collected in rural road of China. Through the data analysis, the main causes of rural road traffic accident are presented. The external environment, the participant features, road features and accident characteristics are involved. The regression analysis in SPSS is applied to find the relationship between the accident features. Overall, the rural road traffic accident was mainly due to in the rural area there are mass travel mode, lower grade roads, poorer safety awareness of traveler and the road is lack of traffic safety facilities and so on.
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Rudenko, D., A. Renkas, and V. Tovaryansky. "ASSESSMENT OF THE IMPACT OF ROAD CONDITIONS ON ACCIDENTS WITH THE APPLICATION OF THE MULTIFACTOR MODEL." Bulletin of Lviv State University of Life Safety 24 (January 5, 2022): 33–39. http://dx.doi.org/10.32447/20784643.24.2021.04.
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Introduction. The process of an accident is complex because it depends on a large number of factors, the rela-tionship of which is sometimes not obvious enough. The process of a traffic accident is influenced by such conditions as: permanent (for example road conditions) and accidental (weather conditions, technical condition of the vehicle, psycho-physiological condition of the driver). In other words, road conditions are changing over a certain period: the level of road surface and road grip is deteriorating, roads are being reconstructed. However, the time during which these changes occur is incomparably greater than the time of changes in weather conditions, the technical condition of vehicles, the psycho-physiological condition of the driver. Therefore, if we are talking about a specific road accident or a group of road accidents committed in a relatively short time, then such a question is justified.Purpose. The work aimed to study the method of accident coefficients with the introduction of additional cost coefficients in this method, which allows establishing those sections of roads on which measures should be taken to improve conditions or reconstruction of individual road sections in the first place.Methods. During the research, a multifactor model of the influence of road conditions on the accident rate of road sections was used.
Results. The paper found that the parameter αі is an indicator of the level of influence of the i-th factor (private accident rate) on the final characteristic of the accident. Calculations for many variants of road sections of different cate-gories show that the range of change of parameter αi is quite wide and depends on the combination of road conditions. Numerical values can both increase the weight share of the i-th factor in the final accident, and reduce it.Conclusion. It is proposed to adopt the method of accident coefficients as the basis of the statistical model of mutual influence of road conditions. Express a multifactor model of the influence of road conditions on the accident rate of road sections by a multiplicative functional dependence and obtain the parameters of the statistical relationship between the factors (αі та А0). Interpret the parameter А0 as part of the final accident rate, independent of road conditions, or not taken into account by private accident rates. And the parameter αі - as the degree of influence of the i-th factor on the final accident rate.
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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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Volchatova, I. V. "Road Accidents: Transport and Social Risks." World of Transport and Transportation 14, no. 3 (June 28, 2016): 232–42. http://dx.doi.org/10.30932/1992-3252-2016-14-3-21.
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On the basis of statistics of traffic accidents accident rate on the roads of Irkutsk region was analyzed. It is shown that the majority of accidents with victims occur due to violations of traffic rules by drivers. The dependence of the number of accidents and injuries on time of day was identified. The maximum contribution to accident rate is made by car drivers. represented by all kinds of transport – rail, road, air, inland waterways and a network of railways and roads. The basis of the road network is federal, regional and local roads with the length, respectively, 1,7, 12.6 and 17 thousand. km. More than 912 thous. Cars are registered in the region and many transit cars are moving on them. Thedependence of the number of accidents and injuries on time of day was identified. The maximum contribution to accident rate is made by car drivers.
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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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Minenko, Evgen, Olexiy Petrashenko, and Roman Efymenko. "ANALYSIS OF SEASONAL CHANGES OF ACCIDENT LEVEL ON THE ROADS OF STATE IMPORTANCE AND THEIR IMPACT ON ROAD ACCIDENTS STATISTICS." Dorogi i mosti 2021, no. 24 (October 1, 2021): 169–76. http://dx.doi.org/10.36100/dorogimosti2021.24.169.
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In the modern world, where more and more vehicles appear every day, the issue of traffic safety is becoming more acute. The most prospective method of traffic safety management, on our opinion, is the analysis of statistical data on road accidents (hereinafter accidents), which allows to determine the accident levele, causes of accidents, evaluate the effectiveness of implemented measures to improve traffic safety and more. As the main task of traffic safety ensuring is to reduce accident level and severity of the accidents consequences, and especially to reduce accidents with fatalities to a minimum, the analysis of accident statistics data plays a key role and is an integral part of a comprehensive approach to solve the issue of the traffic safety management. Qualitative analysis of accidents by various indicators allows determining the main causes that impact on the occurrence of accidents and the severity of their consequences. This article considers the formation of characteristics of seasonal changes in accident level on the network of state roads of Ukraine. The study allows identifying the features and patterns of annual dynamics of road accidents with the definition of monthly maximum and determining the features of seasonal stability of accident level indexes. Taking into account the seasonal variability of the accident level allows rationally planning the activities of transport organizations directed on preventing road accidents and reducing the severity of their consequences. Keywords: accident level, analysis of seasonal changes of accident level, traffic safety, statistics of road accidents.
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Oktopianto, Yogi, Siti Shofiah, Faishal Andhi Rokhman, Kanthi Pangestu Wijayanthi, and Eka Krisdayanti. "Analisis Daerah Rawan Kecelakaan (Black Site) Dan Titik Rawan Kecelakaan (Black Spot) Provinsi Lampung." Borneo Engineering : Jurnal Teknik Sipil 5, no. 1 (April 30, 2021): 40–51. http://dx.doi.org/10.35334/be.v5i1.1777.
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Traffic accidents are the main indicator of road safety levels. There were 2,225 traffic accidents throughout 2019 in Lampung Province with 724 deaths, 1240 seriously injured, and 2015 minor injuries. The research was conducted to the identification of the black site and black spot in Lampung Province. The method used in this research is the EAN, Z-score, Frequency of accidents method calculates accident-prone areas to get the value of the accident location (Black Site) and the Cumulative Summary method to identify the black spot. The results showed from 93 roads, there is 1 road which is the highest black link of each road status. The accident-prone area (black site) is Jalan Lintas Tengah Sumatra and accident-prone points (black spot) at KM 18-26 are influenced by land use, road geometric, and traffic signs.
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Khosravi, Yegane, Farhad Hosseinali, and Mostafa Adresi. "Assessing road accidents in spatial context via statistical and non-statistical approaches to detect road accident hotspot using GIS." Geodetski vestnik 66, no. 03 (2022): 412–31. http://dx.doi.org/10.15292/geodetski-vestnik.2022.03.412-431.
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Road accidents are among the most critical causes of fatality, personal injuries, and financial damage worldwide. Identifying accident hotspots and the causes of accidents and improving the condition of these hotspots is an economical way to improve road traffic safety. In this study, to identify the accident hotspots of “Dehbala” road located in Yazd province-Iran, statistical and non-statistical clustering methods were used. First, the weighting of the criteria was performed by an expert using the AHP method. Hence, the spatial correlation of slope and curvature was calculated by Global Moran’I. Anselin Local Moran index and Getis-Ord Gi* and Kernel Density Estimation were used to identify accident hotspots based on accident location due to the density of points. As a result, four accident hotspots were obtained by the Anselin Local Moran index, three accident hotspots by Getis-Ord Gi*and one accident-prone area were obtained by Kernel Density Estimation method. Three algorithms, k-means, k-medoids, and DBSCAN, were used to identify accident-prone areas or points using non-statistical methods. The dense cluster of each method was considered as an accident-prone cluster. Then the results of statistical and non- statistical methods were intersected with each other and the final accident-prone area was obtained. This study revealed the effect of geometric charcateristics of the road (slope and curvature) on the occurance of accidents.
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Abdul Kudus Zaini and Ulfajri Fauzi. "TRAFFIC ACCIDENT PROBLEM AREA RANTAU BERANGIN- UJUNG BATU ROKAN HULU DISTRICT, RIAU PROVINCE." JURAL RISET RUMPUN ILMU TEKNIK 1, no. 1 (April 13, 2022): 57–65. http://dx.doi.org/10.55606/jurritek.v1i1.159.
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A traffic accident is an event that occurs in a traffic flow due to an error in the traffic shaping system that involves humans as drivers, vehicles, roads, and the surrounding environment. In this study, the road that was studied was Rantau Berangin - Ujung Batu which was a class III collector road with a length of ± 66.5 km. This study aims to determine the level of traffic accidents in the area to obtain the Accident Rate value on the Black Spot and Black site . The method in this research is a qualitative method to get the value of the Black Spot and Black Site based on the accident rate. The data used are primary and secondary data obtained from the Kampar Police from 2014 - 2018, as well as those related to traffic accidents. The results of analysis of the received data show that the rate of traffic accidents on roads Rantau Berangin - Ujung Batu is relatively high with 24 scenes of the accident, which roads rantau Berangin - Silam be the point most vulnerable areas of traffic accidents with Accident Rate of the Black Spot by 9,767 and the Accident Rate of the Black Site is 1,205. Meanwhile, the factors that cause traffic accidents on the Rantau Berangin - Ujung Batu road section are dominated by human factors themselves, such as driving at high speed in crowds and using other drivers' lanes.
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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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Budiawan, Wiwik, Sriyanto, Singgih Saptadi, Ary Arvianto, Harun Pamuji, and Pertiwi Andarani. "DESIGN OF TRAFFIC ACCIDENT PREDICTION MODEL IN TOLL ROAD USING A DECISION TREE ALGORITHM." International Journal of Applied Science and Engineering Review 03, no. 06 (2022): 11–31. http://dx.doi.org/10.52267/ijaser.2022.3602.
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A toll road is a road that the users are obligated to pay, which is held to improve efficient transportation services. Although toll roads have relatively more ideal conditions than highway roads, many traffic accidents still occur on the road. Toll road managers collect operational data on toll roads, including daily traffic, weather, and accident data. One of the solutions to increase the level of toll road safety is to design an accident prediction model through data mining. In this paper, the prediction model was made using attributes according to the framework consisting of day, type of road surface, weather conditions, road surface conditions, time of occurrence, driver sex, and type of vehicle. The prediction model was built to predict certain areas' probability and severity of accidents. The prediction model is built using the decision tree algorithm. The results show that the attributes used can predict the severity of accidents with 39.73% accuracy. The most vulnerable area is in section B on 9 to 10 km, with a total number of accidents of 13.17% of total accidents.
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Devia, Devia. "Analisis Daerah Rawan Kecelakaan Di Ruas Jalan Palangka Raya � Tangkiling." Media Ilmiah Teknik Sipil 8, no. 1 (December 1, 2019): 31–37. http://dx.doi.org/10.33084/mits.v8i1.1134.
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The number of traffic accidents on roads from Palangka Raya to Tangkiling has increased. This is proved that it has increased every year. The road is functioned as the linking road among districts and it is also utilized as the main artery road. Accidents that are occurred in some parts of that road decrease the performance of the road. The aim of this study is to analyze the accident-prone area and its causes so that we are able to identify the handings of that area. This study aims to identify the blackspot points and variables that affect the accident rate (AR) as well as provide handlings for the accident-prone area. The statistic test was multiple linear regression tests using SPSS program. Based on the result of the analysis, it was found that the highest accident rate (AR) on the range of STA 3+000 to 4+000 on Tjilik Riwut road in Palangka Raya. Changes in land use, type of accident, gender, and high speed of vehicle make the accident rate increase. Therefore it is necessary to pay attention to the use of land beside the road so that the Road Benefit Space is free of all kinds of buildings
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Sharma, Shubham, Avani Chopra, and Gurpreet Singh. "Road Safety Analysis for Accident Prone Stretch on NH103." IOP Conference Series: Earth and Environmental Science 1110, no. 1 (February 1, 2023): 012071. http://dx.doi.org/10.1088/1755-1315/1110/1/012071.
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Abstract Road accidents have presently become an major social worry in India which are increasing year by year. These road accidents lead to loss of human life, injuries and property damage which is very serious concern. As per the Sustainable Development Goals (SDG): 2030 relating to transport infrastructure provision of access to safe, accessible, and sustainable transport is the need of the hour. Therefore, road safety becomes very important issues in today’s scenario. In this paper, road safety analysis was done on NH-103 stretch to identify accident/crash black spots. The accidental data was collected from police stations and visual surveys on two lane NH-103 stretch of 58 km. The analysis has been done by using ranking and severity method, accident severity index (ASI) method and accidental density method. and accidental black spots were indentified. It has been found that 6 accidental crash black spots have been identified namely BS-1, BS-2, BS-3, BS-4, BS-5, and BS-6. The reasons for accidents in these blackspots have been traced to suggest counter measures for reduction in number of accidents on this stretch.
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Yaacob, Nur Fatma Fadilah, Noradila Rusli, Sharifah Norashikin Bohari, Muhamad Razuhanafi Mat Yazid, and Amsori Muhammad Das. "Integrated GIS Tool for Investigating the Relationship of Road Characteristics with Road Traffic Accidents." Jurnal Kejuruteraan 32, no. 4 (November 30, 2020): 683–91. http://dx.doi.org/10.17576/jkukm-2020-32(4)-18.
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Road accidents pose a serious economic and social problems given that the number of fatal accidents continue to rise at the national and international levels. This study investigates the relationship between three road parameters, namely number of lanes, level of service (LOS), and slope, with road accidents. The data for road accidents were obtained from the Police Department - Contingent Headquarters (IPK) Alor Setar, Kedah, the data for roads, namely number of lanes and traffic volume, were obtained from Public Works Department (JKR), while the TanDEM-X Image was provided by the licensed holder. The ArcGIS software 10.5 was used to process the data; this is followed by performing the regression and kernel density estimation to determine the relationship between the parameters with accident cases. The majority of road accidents in Kedah occurred on two-lane roads. LOS is negatively correlated with road accidents, which indicates that less accidents occurred with higher level of flow. Slope is negatively correlated with road accidents, indicating that a smaller number of accidents occurred on roads with higher slope values. Alor Setar and Sungai Petani have been identified as road traffic accident hotspots for the period from 2013 to 2015. In summary, the findings of this study provide the relevant authority such as the Traffic Police with the critical information required to make a better decision when formulating strategies to reduce road traffic accidents.
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Mrema, I. J., and M. A. Dida. "A Survey of Road Accident Reporting and Driver’s Behavior Awareness Systems: The Case of Tanzania." Engineering, Technology & Applied Science Research 10, no. 4 (August 16, 2020): 6009–15. http://dx.doi.org/10.48084/etasr.3449.
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Road traffic accidents are a leading cause of death in developed and developing countries. It has been shown that road accident reporting systems could reduce their effects by minimizing response time and mapping road accident-prone areas. This paper provides an overview of the systems and applications for road accident reporting and drivers’ behavior awareness. A field survey, conducted in Dar es Salaam region in Tanzania, investigated the current state of road traffic accident reporting. Findings showed that the main means of reporting road accidents were physical reporting and police emergency phone calls. The absence of alternative means for reporting road accidents causes information delay and lack of precise accident location for the emergency first responders. This paper concludes by proposing a mobile application system for road accident reporting and drivers’ over-speed awareness, in order to improve road safety in developing countries.
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Rahmawaty, Tiara Ayu, Willy Kriswardhana, Wiwik Yunarni Widiarti, and Sonya Sulistyono. "Analisis Karakteristik Kecelakaan di Ruas Jalan Gadjah Mada Kabupaten Jember." Borneo Engineering : Jurnal Teknik Sipil 4, no. 1 (June 30, 2020): 113–25. http://dx.doi.org/10.35334/be.v4i1.1272.
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Gadjah Mada Road is one of the main roads in the Jember and is an urban road that has high activity. Therefore, it has a history of traffic accidents. The purpose of this study was to determine the characteristics of accidents at the KFC-Sentot Prawirodirdjo intersection and Sentot Prawirodirdjo-Argopuro intersection, to determine the EAN (Equivalent Accident Number) value, and the accident rate. Accident characteristics were analyzed based on the number of accidents obtained from the Integrated Road Safety Management System (IRSMS) on weekdays and weekends, EAN value was calculated to estimate the accident weight, and accident rate to determine the level of accident vulnerability. From the analysis, the results obtained from 2017-2018 in the KFC-Sentot Prawirodirdjo intersection have 87 accidents and the Sentot Prawirodirdjo-Argopuro intersection in 2014-2018 there were 228 accidents. Most of the accident victims at the KFC-Simpang Sentot Prawirodirdjo intersection were minor injuries and material losses. Vehicles that often involved in accidents were motorcycles. The time of the accident that often occurs was the night (17.01-21.00). The dominant type of accident is a crash when overtaking from the right. Furthermore, for the Sentot Prawirodirdjo-Argopuro intersection, most accident victims were minor injuries and material losses. The vehicle that is often involved is a motorcycle. The time of the most dominant accident is morning (05.01-09.00), and the type of accident that dominates is crash when overtaking from the right.
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Lukoševičiene, Ona, and Robertas Pečeliūnas. "DETERMINATION OF CAR RUN UP - BRAKING AND MANOEUVRING PARAMETERS IN AN EMERGENCY SITUATION IN THE CASE OF LIMITED ROAD SEGMENT." TRANSPORT 20, no. 4 (August 30, 2005): 135–40. http://dx.doi.org/10.3846/16484142.2005.9638010.
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As the traffic intensity on roads increases, the number of road accidents also increases and the situations become more and more complicated. The presented method of reconstruction of preaccidental situations with the purpose of examination of road accident mechanisms can be widely used for the investigation of road accidents of different nature and for the determination of their reasons, the distance run by a car, the time of its run and speed which can be reached during the run up and followed by braking in road segments between two manoeuvres in a road segment of limited length. This method is being widely used in Lithuania for the investigation of accidental situations and for the assurance of law and order.
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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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Peter W. Kiama. "Pattern of road traffic accident deaths: A critical autopsy analysis in Kenya." Journal of Medical and Health Sciences (JMHS) 1, no. 1 (August 7, 2022): 34–39. http://dx.doi.org/10.51317/jmhs.v2i1.195.
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This study investigated fatalities resulting from Road traffic accidents to inform public health policy on the need for their prevention. This is a descriptive prospective study of road traffic accident deaths in Nairobi; of all the bodies brought at the city mortuary Nairobi in the period between June 1 2009, and May 31 2010. In this study, all cases of deaths from road traffic accidents for twelve consecutive months were included. Data was entered on a proforma datasheet. Data was analysed using SPSS. The study concluded that the major contributor of Accidental deaths is road traffic accidents. Furthermore, road traffic accident fatalities significantly involve pedestrians compared to the other class of people. Fatalities from road traffic accidents are a preventable public health problem in Kenya. The study recommends that the driving habits in Kenya be regulated to prevent these fatalities.
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Slamet Widodo. "A Study for Locations of Accident Prone on Some Provincial Roads in Province of Kalimantan Barat." Journal of Innovation and Technology 2, no. 1 (April 25, 2021): 6–9. http://dx.doi.org/10.31629/jit.v2i1.3208.
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Nowadays more than one million people become victim in an accident on the roads. Some efforts have already been done to reduce globally the number accident. This paper is to show the condition of some provincial roads as location study in province of Kalimantan Barat regarding with description, characteristic, and the causes of accident. The results indicate that the human error take part dominantly around of 65% accident number, meanwhile vehicle condition and road environment contribute less than 5 %. The provincial road is dominated by the two-lane two-way facility. The finding shows the frontal collision type around of 42 % on the accident number. Number of motor cycle dominate the type of vehicle on the road. It coincides with percentage of motor cycle significant involved at an accident around of 71%. The frontal collision at location of study is more than twice compared to national data. Ratio number of accidents to length of road is located on the road segment from Ketapang to Pesaguan around of 0.884 each kilometer
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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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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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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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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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Treeranurat, Wanit, and Suthathip Suanmali. "Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand." Engineering Management in Production and Services 13, no. 4 (December 1, 2021): 57–71. http://dx.doi.org/10.2478/emj-2021-0031.
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Abstract The Department of Rural Roads (DRR) is one of the highway authorities in Thailand responsible for over 48 000 kilometres of rural roads and highway networks. One of its responsibilities is to provide better road safety management. In road safety procedures, black spots are usually identified by observing the frequency of accidents at a particular road section. This research aims to develop a model that includes levels of accident severity in the black spot identification process. The classification of severity levels includes fatalities, serious injuries, minor injuries, and damaged property only. The Analytic Hierarchy Process (AHP) is employed to derive the weight of each severity level. The identification model is developed using Equivalent Accident Number (EAN) and Upper Control Limit (UCL). The data applied in the model are obtained from the road accident investigation of DRR. Five roads — Nakhon Ratchasima 3052, Chonburi 1032, Nonthaburi 3021, Samutprakarn 2001 and Chiangmai 3029 — have been selected based on the top frequency accident recorded in the last three years. Based on the results of black spots identified in the study, most accidents occurred from frontal and rear-ended impacts due to exceeded speed limits. The article discusses recommendations.
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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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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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Awsarmal, Prashant, S. L. Hake, Shubham Vaidya, P. K. Bhandari, and M. P. Wagh. "Case Study for Road Safety Audit of Aurangabad City." E3S Web of Conferences 170 (2020): 06008. http://dx.doi.org/10.1051/e3sconf/202017006008.
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Efficient road network is a part-n-parcel of rapid industralization, urbanization and development of nation. While designing roads and highways, main emphasis is given on speed which will help to reduce time of journey and save fuel. But safety of drivers and passengers travelling along road is also important. In past, it was observed that while travelling, due to excess speed passengers safety was compromised. It will lead to accidents. It may cause severe injuries and loss of human life. Therefore it is important to check every aspect of vehicles as well as road during its design, construction and throughout the life of the road. Road safety audit is conducted to check performance of new road projects on grounds of offering maximum safety. Also checks are applied to study performance of existing roads to suggest repairs, rehabiliatation and maintenance work in order to improve condition of roads. During audit process, accident prone locations are identified. Past accident record from traffic department, Police department, hospitals etc are referred to understand damage that had occured. Even road geometry is investigated on technical basis. In present investigation, particular stretch of Beed Bypass Road passing through Aurangabad city in Maharashtra state, India was selected. On this road, accident sites where major accidents occurred in past were identified and investigated for different parameters. Based upon study, different causes of accidents and thereafter preventive methods were recommended during research work.
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Domenichini, Lorenzo, Andrea Paliotto, Monica Meocci, and Valentina Branzi. "Application and Evaluation of a Non-Accident-Based Approach to Road Safety Analysis Based on Infrastructure-Related Human Factors." Sustainability 14, no. 2 (January 7, 2022): 662. http://dx.doi.org/10.3390/su14020662.
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Too often the identification of critical road sites is made by “accident-based” methods that consider the occurred accidents’ number. Nevertheless, such a procedure may encounter some difficulties when an agency does not have reliable and complete crash data at the site level (e.g., accidents contributing factors not clear or approximate accident location) or when crashes are underreported. Furthermore, relying on accident data means waiting for them to occur with the related consequences (possible deaths and injuries). A non-accident-based approach has been proposed by PIARC. This approach involves the application of the Human Factors Evaluation Tool (HFET), which is based on the principles of Human Factors (HF). The HFET can be applied to road segments by on-site inspections and provides a numerical performance measure named Human Factors Scores (HFS). This paper analyses which relationship exists between the results of the standard accident-based methods and those obtainable with HFET, based on the analysis of self-explaining and ergonomic features of the infrastructure. The study carried out for this purpose considered 23 km of two-way two-lane roads in Italy. A good correspondence was obtained, meaning that high risky road segments identified by the HFS correspond to road segments already burdened by a high number of accidents. The results demonstrated that the HFET allows for identifying of road segments requiring safety improvements even if accident data are unavailable. It allows for improving a proactive NSS, avoiding waiting for accidents to occur.
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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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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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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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Atamanenko, Yuliya. "PROCESSING OF AEROPICTURES AT THE PLACE OF AN ACCIDENT ON THE WEB-PORTAL «INFORMATION AND ANALYTICAL CENTRE OF MONITORING OF ROAD TRAFFIC ACCIDENTS»." Law Journal of Donbass 73, no. 4 (2020): 189–95. http://dx.doi.org/10.32366/2523-4269-2020-73-4-189-195.
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The article presents theoretical substantiation of the methodological basis for use of aeropictures of unmanned aerial vehicles of the "micro" class, namely DJI Phantom 3 Professional and GIS-technologies during the mapping of the site of an accident. A structural and functional model of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" has been developed and implemented, which allows to fully use aerial photographs of unmanned aerial vehicles to increase the efficiency of road accident mapping technology. A step-by-step technological scheme for processing aerial photographs of the scene of accidents on the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" is proposed. It should be noted that the structure of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" includes the subsection "Registration of a traffic accident report" and the subsection "Add a participant of an accident", which ensures the registration of personal materials of the participants of a road traffic accident. Thus, the result of registration of an accident on the web portal is the documentation of the registered accident in the form of a generated report, which includes personal materials of the participants of an accident and orthophotos of the scene of an accident. Thus, it is definite that the developed geo-information support of the web portal "Information and Analytical Centre for Monitoring of Road Traffic Accidents" is intended for collection, registration, mapping, formation and issuance of relevant documentation of an accident. The application of this innovative solution to the process of registration and mapping of road traffic accidents allows to solve a number of issues related to the process of registration and mapping of road accidents, namely: the issue of traffic jams will be resolved; the process of registration of road accident is automated; the accuracy and reliability of the made schemes of a place of a road traffic accident will increase; the number of controversial issues will decrease; the received materials can be used for other purposes (adoption of motivated decisions on court cases, execution of reasoned payments by insurance companies), and accordingly the corruption component will decrease.
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Oktarinda, Enggar, Nuzul Barkah Prihutomo, and Eka Olivia Maulani. "ANALISIS PENGARUH KENDARAAN ODOL TERHADAP TINGKAT KECELAKAAN DI JALAN TOL." Construction and Material Journal 4, no. 1 (April 29, 2022): 49–57. http://dx.doi.org/10.32722/cmj.v4i1.4151.
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Semarang ABC toll road is an inner-city toll road of Semarang connecting the West, East, and South areas of Semarang City. The toll road is a crucial road for land transportation in Java and yet passed by many overloaded and over-dimension vehicles. Overloaded and over-dimension vehicles (ODOL) on toll roads is categorized as a traffic violation that harms various parties such as disrupting the smooth traffic flow due to low speeds and affecting toll road maintenance costs due to ODOL vehicle loads, and Accident rates involving overloaded vehicles. This study aims to examine the effect of ODOL vehicles on the Accident rate on toll road. The study used a regression test with SPSS software. The results of the study show there is an influence between ODOL vehicles and the level of traffic accidents on toll road by 32%. From the JM Digimap application, case studies of accidents involving ODOL vehicles on toll road can disrupt the smooth traffic flow and reduce the average passing speed by up to 12%. Keywords: Accident Rates, Over-dimension, Overloading, Traffic Violation.
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Khairul Amri Kamarudin, Mohd, Noorjima Abd Wahab, Roslan Umar, Ahmad Shakir Mohd Saudi, Muhammad Hafiz Md Saad, Nik Rozaireen Nik Rosdi1, Sarah Alisa Abdul Razak, Muhamad Murtadha Merzuki, Abdul Salam Abdullah, Siti Amirah, and Asyraff Mohd Ridzuan. "Road Traffic Accident in Malaysia: Trends, Selected Underlying, Determinants and Status Intervention." International Journal of Engineering & Technology 7, no. 4.34 (December 13, 2018): 112. http://dx.doi.org/10.14419/ijet.v7i4.34.23839.
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This paper includes review of the trends, selected underlying, determinants and status intervention. The 1.17 million of deaths occur each year worldwide due to road accidents 70 % of which occur in developing countries in the world. 65% of deaths involve pedestrian’s causes, 35 % of which are children. Estimates suggest that 23–34 million people are injured worldwide every year in road crashes. Fatal accidents are among the major factors of death in the world apart from chronic diseases such as stroke, lung infections, respiratory difficulties and heart disease. The rise in fatal accidents in Malaysia is 70%. This study was conducted to study the rate of fatal accidents on roads in the state of Selangor and Perlis based on fatal accident data for a period of five years from 2013 to 2017. The data were analyzed using quantitative methods which took into account the research conducted by researchers last. Based on analyzed data, the state of Selangor recorded the highest accident rate while Perlis state recorded the lowest accident rate. Among other things being studied are factors affecting the rate of road accidents in both states. In conclusion, the traffic, the physical structure of the road and the road users' focus is a factor of road accidents more concentrated in a particular area.
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Jasiūnienė, Vilma, and Rasa Vaiškūnaitė. "Road Safety Assessment Considering the Expected Fatal Accident Density." Baltic Journal of Road and Bridge Engineering 15, no. 2 (June 25, 2020): 31–48. http://dx.doi.org/10.7250/bjrbe.2020-15.471.
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Network-wide road safety assessment throughout the whole network is one of the four road infrastructure safety management procedures regulated by Directive 2019/1936/EC of the European Parliament and of the Council of 23 October 2019 Аmending Directive 2008/96/EC on Road Infrastructure Safety Management and one of the methods for determining the direction of investment in road safety. So far, the implementation of the procedure has been lightly regulated and adapted using various road safety indicators. The paper describes the evaluation of road accident data that is one of the criteria for conducting a network-wide road safety assessment. Taking into consideration that networkwide road safety assessment is a proactive road safety activity, the paper proposes to conduct road safety assessment considering the expected fatal accident density. Such assessment makes it possible to assess the severity of accidents, and the use of the predicted road accident data on calculating the introduced road accident rate contributing to the prevention of accidents. The paper describes both the empirical Bayes method for predicting road accidents and the application of one of the road safety indicators – the expected fatal accident density – to determine five road safety categories across the road network. The paper demonstrates the application of the proposals submitted to Lithuanian highways using road accident and traffic data for the period 2014–2018.
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Bulatov, Sergey. "ANALYSIS OF FACTORS AFFECTING THE LIKELIHOOD OF ROAD ACCIDENTS." Transport engineering 2022, no. 6 (June 9, 2022): 42–47. http://dx.doi.org/10.30987/2782-5957-2022-6-42-47.
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Objective: To identify and reduce deficiencies in the functioning of the road infrastructure in order to eliminate them and increase safety on public roads. Problem: To study the factors affecting the accident rate, analyzing the number and types of road accidents, as well as the main areas where accidents are frequent on the example of Orenburg region. Experimental studies were carried out by the method of observation and statistics on accidents. This paper is characterized by the complexity of considering and analysis of factors affecting the likelihood of road accidents. The accident rate can be reduced as part of implementing the activities of the regional project "Regional and Local Road Network", so by taking measures to control and supervise the arrangement of places of road works, introducing new organizational measures. The increase in the number of cameras for fixing traffic offences in cities and regions, installation of artificial irregularities, aboveground pedestrian crossings, etc., also contribute to the reduction of road accidents. In Orenburg region, the decrease in the number of road accidents in 2021 compared to 2020 reached 19.6%.
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Zhang, Yu Chun, Chuan He, Yong Fang, and Xiao Qin Sun. "Study on Quantitative Risk Assessment of LGP Transportation in Road Tunnel." Advanced Materials Research 255-260 (May 2011): 4105–9. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.4105.
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Based on the tunnel environment and the characteristic of flammability and explosion of liquefied petroleum gas (LGP), the leak of LPG tanker can induce heavy casualties and property loss in the tunnel. In order to study quantitative risk of LGP transportation in road tunnel, the data of 599 accidents and 659 accidental vehicles are collected. From these data, the proportion of LGP tanker accident in the total accident vehicles and million vehicles kilometer (MVK) tanker accident rates are obtained. By analyzing the leakage scene of LGP tanker, the possible accident types of the LGP transportation were analyzed, such as boiling liquid expanding vapor explosion (BLEVE), vapor cloud explosion (VCE), flash fire and jet fire, etc. The impact of leak time to various ranges of injury is studied in the condition of LGP continued leakage. The slight injury, serious injury and death radius of LGP leakage accidents are calculated in tanker loaded with different LGP quantity. In view of the accidental analysis, the countermeasures will be proposed to reduce the risk of LGP transportation in road tunnel.
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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.
Full textAbstract:
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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Kim, Daeseong, Sangyun Jung, and Sanghoo Yoon. "Risk Prediction for Winter Road Accidents on Expressways." Applied Sciences 11, no. 20 (October 14, 2021): 9534. http://dx.doi.org/10.3390/app11209534.
Full textAbstract:
Road accidents caused by weather conditions in winter lead to higher mortality rates than in other seasons. The main causes of road accidents include human carelessness, vehicle defects, road conditions, and weather factors. If the risk of road accidents with changes in road weather conditions can be quantitatively evaluated, it will contribute to reducing the road accident fatalities. The road accident data used in this study were obtained for the period 2017 to 2019. Spatial interpolation estimated the weather information; geographic information system (GIS) and Shuttle Radar Topography Mission (SRTM) data identified road geometry and accident area altitude; synthetic minority oversampling technique (SMOTE) addressed the data imbalance problem between road accidents due to weather conditions and from other causes, and finally, machine learning was performed on the data using various models such as random forest, XGBoost, neural network, and logistic regression. The training- to test data ratio was 7:3. Random forest model exhibited the best classification performance for road accident status according to weather risks. Thus, by applying weather data and road geometry to machine learning models, the risk of road accidents due to weather conditions in the winter season can be predicted and provided as a service.
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Swathi, Ummadi, T. Lakshmi Prasanna, and Shyam Mohan J S. "TRAFFIC ACCIDENT PREDICTION USING MACHINE LEARNING." International Journal of Computer Science and Mobile Computing 11, no. 3 (March 30, 2022): 83–94. http://dx.doi.org/10.47760/ijcsmc.2022.v11i03.010.
Full textAbstract:
This report presents the results from the research study on applying large scale data mining methods into analysis of traffic accidents on the finnish roads. The data sets collected from traffic fatal accidents are huge, multidimensional, and heterogeneous. Moreover, they may contain incomplete and erroneous values, which make its exploration and understanding a very demanding task. The target data of this study was collected by the finnish road administration datasets. The intention is to investigate the usability of robust clustering, association and frequent itemsets, and visualization methods to the road traffic accident analysis. While the results show that the selected data mining methods are able to produce understandable patterns from the data, finding more fertilized information could be enhanced with more detailed and comprehensive data sets. Machine learning algorithm takes accident frequency count as a parameter to cluster the locations. Then we used association rule mining to characterize these surface condition. The rules revealed different factors associated with road accidents at different drunk and drive with varying accident frequencies. The association rules for high-frequency accident location disclosed that intersections on highways are more dangerous for every type of fatal accidents.
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Mićić, Spasoje, Radoje Vujadinović, Goran Amidžić, Milanko Damjanović, and Boško Matović. "Accident Frequency Prediction Model for Flat Rural Roads in Serbia." Sustainability 14, no. 13 (June 24, 2022): 7704. http://dx.doi.org/10.3390/su14137704.
Full textAbstract:
Traffic accidents, by their nature, are random events; therefore, it is difficult to estimate the exact places and times of their occurrences and the true nature of their impacts. Although they are hard to precisely predict, preventative actions can be taken and their numbers (in a certain period) can be approximately predicted. In this study, we investigated the relationship between accident frequency and factors that affect accident frequency; we used accident data for events that occurred on a flat rural state road in Serbia. The analysis was conducted using five statistical models, i.e., Poisson, negative binomial, random effect negative binomial, zero-inflated Poisson, and zero-inflated negative binomial models. The results indicated that the random effect negative binomial model outperformed the other models in terms of goodness-of-fit measures; it was chosen as the accident prediction model for flat rural roads. Four explanatory variables—annual average daily traffic, segment length, number of horizontal curves, and access road density—were found to significantly affect accident frequency. The results of this research can help road authorities make decisions about interventions and investments in road networks, designing new roads, and reconstructing existing roads.