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Journal articles on the topic 'Traffic accident countermeasures'

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1

Seneviratne, P. N., and A. P. Seneviratne. "Selection of traffic accident countermeasures." Canadian Journal of Civil Engineering 15, no. 2 (1988): 145–51. http://dx.doi.org/10.1139/l88-020.

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A decision theory approach is proposed for selecting the optimal accident countermeasure when estimates of future accidents at a site and expected proportion of the accidents likely to be prevented by a countermeasure are uncertain. The decision model is transformed into a microcomputer program and a numerical example is used to illustrate the aptness of the approach and its ability to allow analysts to combine empirical data with informed judgment to make decisions systematically. The potential of the program to be expanded to operate with an extensive built-in knowledge base of accident and
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2

Mashros, Nordiana, SittiAsmah Hassan, Yaacob Haryati, et al. "Road traffic accidents on Senai-Desaru expressway." MATEC Web of Conferences 250 (2018): 02002. http://dx.doi.org/10.1051/matecconf/201825002002.

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Understanding and prioritising crash contributing factors is important for improving traffic safety on the expressway. This paper aims to identify the possible contributory factors that were based on findings obtained from crash data at Senai-Desaru Expressway (SDE), which is the main connector between the western and eastern parts of Johor, Malaysia. Using reported accident data, the mishaps that had occurred along the 77.2 km road were used to identify crash patterns and their possible related segment conditions. The Average Crash Frequency and Equivalent Property Damage Only Average Crash F
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Dorisman, Asri, Adji Suradji Muhammad, and Ramadhani Setiawan. "Stakeholder Collaboration in Traffic Accident Management." Jurnal Magister Administrasi Publik 1, no. 1 (2021): 64–75. http://dx.doi.org/10.31629/jmap.v1i1.3320.

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This research aims to determine how the collaboration process between stakeholders in response to traffic accidents in Kota Tanjungpinang. In Kota Tanjungpinang accident numbers are still quite high from year to year. In response to traffic accidents in Kota Tanjungpinang some stakeholders such as Polres Tanjungpinang, Dinas Perhubungan Kota Tanjungpinang, PT. Jasa Raharja (Persero) Perwakilan Tanjungpinang, Dinas Pekerjaan Umum dan Penataan Ruang Kota Tanjungpinang, Dinas Perumahan Rakyat, Kawasan Permukiman, Kebersihan dan Pertamanan Kota Tanjungpinang collaborate. Data collection methods in
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Rusnana Suletae, Desriantomy, and Ina Elvina. "Analisis Daerah Rawan Kecelakaan Lalu Lintas pada Jalan Tjilik Riwut Kota Kasongan Kabupaten Katingan Provisi Kalimantan Tengah." Jurnal Serambi Engineering 9, no. 1 (2023): 7596–602. http://dx.doi.org/10.32672/jse.v9i1.706.

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Katingan Regency is one of the areas known to be prone to traffic accidents in Central Kalimantan Province. As a result of these accidents, there are many casualties. Therefore, it is necessary to conduct research to determine the level of accidents that occur on the Tjilik Riwut Kasongan road section. The purpose of this study is to analyze accident data on the Tjilik Riwut Kasongan road, analyze the location of traffic accident hotspots on the road, analyze the main factors causing accidents and provide recommendations to relevant agencies to reduce the accident rate on the road. The results
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5

Kononov, Jake, and Bruce N. Janson. "Diagnostic Methodology for the Detection of Safety Problems at Intersections." Transportation Research Record: Journal of the Transportation Research Board 1784, no. 1 (2002): 51–56. http://dx.doi.org/10.3141/1784-07.

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There is an established consensus among traffic safety researchers that a nonlinear relationship exists between traffic exposure and safety. This relationship is reflected by the safety performance functions (SPFs) calibrated for various classes of roads and intersections. One of the main uses of SPFs is to identify locations with potential for accident reduction. While this application is certainly important, the use of SPFs provides no information related to the nature of the accident occurrence. Without being able to relate accident frequency and severity to roadway geometrics, traffic cont
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Li, Bing, and Jia Xin Liu. "Research on Preventive Management of Freeway Traffic Accident." Advanced Materials Research 779-780 (September 2013): 763–68. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.763.

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With the rapid development of the freeway, preventive work of freeway traffic faces larger and larger test. This paper adopts 1561 cases of traffic accidents in the Jiliao-freeway in past 5 years to find out the factors that affect safety. The study found out some factors which cause freeway traffic accidents, they are time, weather, the number of patrol vehicles and monitoring, age and attribution of the accident driver. The paper studies the management problems and puts forward on the countermeasures and suggestions, especially the problem of freeway traffic police burnout. This problem whic
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Abdulhakim Othman Salih kozapanky. "On-Site Investigation and Diagnosis of Hazardous Street Section in Erbil Street Network." Zanco Journal of Pure and Applied Sciences 37, no. 1 (2025): 91–107. https://doi.org/10.21271/zjpas.37.1.11.

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Accidents place a significant burden on the national economy due to their potential to cause disability, death, health issues, property damage, social distress, and environmental harm. The current study seeks to investigate an accident prone location in Erbil Street Network "in Kurdistan region- Iraq" and implement the procedures outlined in the Highway Safety Improvement Program (HSIP). The process involves characterizing the accidents, diagnosing the issues, and assessing field conditions to identify the contributing factors. Based on this, countermeasures are suggested to significantly impr
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8

Hu, Yanbin, and Wenhui Zhou. "Correlation Method of Assistance Driving Function and Road Environment Factors in Investigation of Intelligent Vehicle Traffic Accident." World Electric Vehicle Journal 16, no. 3 (2025): 158. https://doi.org/10.3390/wevj16030158.

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To address the need for an in-depth exploration of traffic accidents involving intelligent vehicles and to elucidate the influence mechanism of road environment interference factors on both assisted driving systems and human drivers during such accidents, a comprehensive analysis has been conducted using the System-Theoretic Process Analysis (STPA) framework. This analysis focuses on road static facilities, traffic dynamic characteristics, and instantaneous weather conditions in automobile traffic accidents that occur under the human-machine co-driving paradigm with integrated assisted driving
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9

Al Feki, Enass Mohammed, Mona Mohamed Eid, Fadia yousef cara, Abdulgader saad bogetan, and Amir Ali Ali Algalal. "OPTIMIZING THE URBAN AREA TOWARD TACKLING ROAD ACCIDENT AND RISKS: COUNTREMEASURES FOR TRIPOLI." International Science and Technology Journal 35, no. 1 (2024): 1–20. https://doi.org/10.62341/emfa2022.

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In recent years, there has been a gradual increase in the need for private vehicle ownership in Libya due to the lack and weakness of public transport infrastructure, which has led to the growth of traffic accidents, especially in Tripoli. Traffic accidents often occur as a result of driver negligence in terms of speed, hesitation, failure to give priority, using the phone while driving, and incorrectly handling turns. Data collected from traffic accident records from the period (01/01/2015 to 31/12/2019) on 12 main roads showed the occurrence of 1827 traffic accidents. 19% of the accidents we
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Kusumaningrum, Riandha, and Nunung Widyaningsih. "Analysis of Traffic Accidents Using the Accident Rate Method (Case Study: MT. Haryono Street – Gatot Subroto Street South Jakarta City)." Jurnal Sains dan Teknologi Industri 20, no. 2 (2023): 818. http://dx.doi.org/10.24014/sitekin.v20i2.22153.

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MT. Haryono - Gatot Subroto Street South Jakarta is one of the arterial roads in the Special Capital Region of Jakarta that connects three cities, South Jakarta City and East Jakarta City. Based on IRSMS (Integrated Road Safety Management System), data from the National Police showed increased traffic accident cases in MT. Haryono Gatot Subroto Street South Jakarta, where in 2019, there were 21 traffic accident cases. In 2020, there were 30 traffic accident cases, and in 2021, there were 38 traffic accident cases. This research method was descriptive, which describes current conditions using t
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Jeong, Hyeonchoel, Inhi Kim, Keejun Han, and Jungeun Kim. "Comprehensive Analysis of Traffic Accidents in Seoul: Major Factors and Types Affecting Injury Severity." Applied Sciences 12, no. 4 (2022): 1790. http://dx.doi.org/10.3390/app12041790.

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Accident and fatality rates of traffic accidents worldwide are steadily increasing every year; thus, considerable effort has been made to prevent traffic accidents and prepare countermeasures. This study aims to identify the major factors and types that affect the severity of traffic accidents in Seoul by utilizing the Seoul Metropolitan Government’s traffic accident dataset. To achieve this, we perform a comprehensive analysis by adopting various machine learning techniques—not only supervised learning methods but also unsupervised learning methods. As a result of the experiment, we derived s
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Utomo, Preliyanto Puji, and Bambang Tri Bawono. "Application Of Act No. 22 Of 2009 As A Traffic Accidents Countermeasures Management In The Blora Police Law Area." Jurnal Daulat Hukum 3, no. 2 (2020): 259. http://dx.doi.org/10.30659/jdh.v3i2.9373.

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The problems discussed in this study are efforts to tackle traffic accidents by law enforcers in the Blora Police Law Area and the application of Act No. 22 Of 2009 On Road Traffic and Transportation to accident rates in the Blora Police Law Area. The approach method used is sociological juridical, descriptive analytical research specifications. The data used are primary data and secondary data. Data collection methods are field studies and library studies. The data analysis method uses qualitative analysis. As a knife analysis, crime prevention theory and law enforcement theory are used. The
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13

Thakare, K. N. "ASI Based Identification and Prioritization of Accident Black Spot." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 1728–34. http://dx.doi.org/10.22214/ijraset.2021.38261.

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Abstract: The number of motor vehicles on road increased spectacularly which causing major social and transportation problems such as death and economic losses. Eradication of accident blackspots is a crucial part of the road safety approach. So, this issue informed the quest to study and identify the accidental black spot in the context of NH 6. The stretch of 35 km on NH 6 near Pune was considered to identify the black spot. Accident blackspot locations were distinguished through the accident severity index (ASI) method by employing two years of accident data. These identified black spots we
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14

Hidayat, Acep, Muhammad Isradi, and Soh Aly. "SOCIALIZATION OF GOOD AND TRUE TRAFFICKING OF MADRASAH IBTIDAIYAH DAARUL ‘ULUM SOUTH JAKARTA." ICCD 2, no. 1 (2019): 373–75. http://dx.doi.org/10.33068/iccd.vol2.iss1.234.

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The accident rate in Indonesia tends to be quite high when compared to other countries in Asean. Traffic accidents are one of the causes of death in the world (8th rank), and the main cause of death of young people aged 15 to 29 years. Accidents can be prevented by various technical countermeasures, this needs to be done so that unnecessary accident costs can be reduced. Against this background, it is necessary to conduct socialization early on about good and correct traffic procedures especially for young children at the elementary school level, so it is expected that our children already hav
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15

Lu, Linjun, Jian Lu, Yingying Xing, Chen Wang, and Fuquan Pan. "Statistical Analysis of Traffic Accidents in Shanghai River Crossing Tunnels and Safety Countermeasures." Discrete Dynamics in Nature and Society 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/824360.

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A large number of traffic tunnel accidents have been reported in China since the 21th century. However, few studies have been reported to analyze traffic accidents that have occurred in urban road tunnels. This study aims to examine the characteristics of the temporal, spatial, and modality distributions of traffic in Shanghai river crossing tunnels using statistical analysis and comparative analysis. Employing these techniques tunnel accident data obtained from Shanghai center 110 was analyzed to determine temporal and spatial distribution characteristics of traffic accidents in river crossin
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16

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 Ro
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17

Koo, Byung-Kook, Ji-Won Baek, and Kyung-Yong Chung. "Weight Feedback-Based Harmonic MDG-Ensemble Model for Prediction of Traffic Accident Severity." Applied Sciences 11, no. 11 (2021): 5072. http://dx.doi.org/10.3390/app11115072.

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Traffic accidents are emerging as a serious social problem in modern society but if the severity of an accident is quickly grasped, countermeasures can be organized efficiently. To solve this problem, the method proposed in this paper derives the MDG (Mean Decrease Gini) coefficient between variables to assess the severity of traffic accidents. Single models are designed to use coefficient, independent variables to determine and predict accident severity. The generated single models are fused using a weighted-voting-based bagging method ensemble to consider various characteristics and avoid ov
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18

Hou, Xuerui, Meiling Su, Chenhui Liu, Ying Li, and Qinglu Ma. "Examination of the Factors Influencing the Electric Vehicle Accident Size in Norway (2020–2021)." World Electric Vehicle Journal 15, no. 1 (2023): 3. http://dx.doi.org/10.3390/wevj15010003.

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With the great increase of electric vehicles (EVs) in the past decade, EV-involved traffic accidents have also been increasing quickly in many countries, bringing many new traffic safety challenges. Norway has the largest EV penetration rate in the world. Using the EV accident data from Norway in 2020 and 2021, this study aims to investigate the features of EV safety comprehensively. Firstly, a descriptive analysis is conducted. It has been found that rear-end collisions are the major collision type of EVs, and EVs are very likely to collide with pedestrians/cyclists. In addition, in terms of
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19

Gazder, Uneb, Ahmed Hasan, and Yaqoub Yousif. "Developing Artificial Neural Networks and Highway Safety Manual Models for Predicting Accidents at Intersections in Bahrain." Digital Technologies Research and Applications 3, no. 2 (2024): 58–72. http://dx.doi.org/10.54963/dtra.v3i2.245.

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Intersections are among the places where the highest number of accidents occur, thus, studying their safety and considering countermeasures to increase their safety should improve the overall safety of a traffic system. Prediction models, such as Artificial Neural Networks, have not been used for planning purposes in terms of providing countermeasures for accidents. This shortcoming forces the practitioners to employ traditional statistical methods which may be less accurate and have restricted applications. Hence, the Artificial Neural Networks models of this study were developed with the app
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20

Hafeez, Farrukh, Usman Ullah Sheikh, Saud Al-Shammari, Muhammad Hamid, Abdul Baqi Khan Khakwani, and Zeeshan Ahmad Arfeen. "Comparative analysis of influencing factors on pedestrian road accidents." Bulletin of Electrical Engineering and Informatics 12, no. 1 (2023): 257–67. http://dx.doi.org/10.11591/eei.v12i1.4312.

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Road accident data includes detailed information about incidents that occurred, such as where they happened, the severity of the accident, and the number of people on the road at the time. Such information is useful in determining the causes of accidents and developing potential countermeasures. This research aims to determine the factors that contribute to pedestrian fatalities and injuries in traffic accidents. This study examined 150 pedestrian-vehicle accidents that took place between 1990 and 2021 in forty countries. Eleven factors have been identified as the major causes of accidents. Th
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Qu, Lv Wen, Mei Wei Dai, Fu Jian Wang, and Zhi Yuan Zeng. "Time Distribution and Analysis of Traffic Accident Fatalities." Applied Mechanics and Materials 361-363 (August 2013): 2308–14. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.2308.

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According to hourly statistical data of road traffic accidents death toll during 1999~2004 of Zhejiang province, we found the death toll concentration phenomenon which is called phenomenon of 17 to 20 o'clock. And we discussed causes of high incidence of traffic accidents during 17 to 20 o'clock and put forward the corresponding countermeasures to reduce traffic accidents, according to the distribution pattern of deaths gender, age, travel purpose during these hours. The results of this research provide the foundation for reinforcing the traffic safety education and management.
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Lord, Dominique, Hamidou Mamadou Abdou, Antoine N’Zué, Georges Dionne, and Claire Laberge-Nadeau. "Traffic Safety Diagnostics and Application of Countermeasures for Rural Roads in Burkina Faso." Transportation Research Record: Journal of the Transportation Research Board 1846, no. 1 (2003): 39–43. http://dx.doi.org/10.3141/1846-07.

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The government of Burkina Faso has recently been making important macroeconomic changes to encourage the economic growth of the country. To maintain this growth, the government has implemented a transportation program to improve road network efficiency and safety. A 2000 study to improve the safety of rural roads in Burkina Faso is described. The primary objectives were to assess traffic safety problems and propose countermeasures to reduce the number and severity of collisions on rural roads. Many rural roads were evaluated on site; all accident data and important socioeconomic variables were
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Cao, Qing Gui, Lu Hua Zhao, Nai Xiu Gao, and Ping Chen. "System Safety Analysis and Strategy Research on Truck Rear-End Accidents." Applied Mechanics and Materials 253-255 (December 2012): 1700–1704. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1700.

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The paper is intended to analyze trucks rear-end accident by applying fishbone diagram and fault tree analysis methods and study the countermeasures. And applying fishbone diagram to analyze the cause of trucks rear-end collision accidents systematically and logically and classify the accidents cause. The paper drew the fault tree of trucks rear-end collision accidents, sought the way of controlling the accidents through least path-set of fault tree, and found the main factors that influence the truck traffic safety according to the result of structure importance level. According to the analys
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Gurung, Rajan, Rajendra Aryal, Narayan KC, and Buddhi Raj Joshi. "Black Spot Location Identification for National Highway: A Case Study of Mugling – Kotre Section of Prithivi Highway of Nepal." Journal of Engineering Technology and Planning 4, no. 1 (2023): 31–43. http://dx.doi.org/10.3126/joetp.v4i1.58440.

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The rapid development of road infrastructure enhances connectivity and at the same time increases road crashes. A road traffic accident is one of the leading causes of injury and death in Nepal that has a great impact on the country’s economy. The identification of frequent road traffic crash spots and their causes are essential for the implementation of the most efficient countermeasures. Accident black spots are high-risk spots where numbers of accidents take place frequently and repeatedly. The study focused on the identification of black spots on the Mugling-Kotre section of the Prithivi h
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Gattis, J. L. "Cross Traffic Signing for Stop Signs." Transportation Research Record: Journal of the Transportation Research Board 1553, no. 1 (1996): 1–11. http://dx.doi.org/10.1177/0361198196155300101.

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Signs warning motorists that traffic on the cross street does not stop can be found at some intersections that are not all-way stop controlled. These “cross traffic” signs have been installed to furnish a special warning where some motorists on the minor approaches may incorrectly assume that the major crossing street also has stop signs. The variety of cross traffic signs in use lack uniformity of message, color, shape, and placement location. A literature review and two surveys were conducted to examine (a) present usage of cross traffic signs, (b) circumstances under which these signs have
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Manap, Norhafizah, Muhamad Nazri Borhan, Muhamad Razuhanafi Mat Yazid, Mohd Khairul Azman Hambali, and Asyraf Rohan. "Identification of Hotspot Segments with a Risk of Heavy-Vehicle Accidents Based on Spatial Analysis at Controlled-Access Highway." Sustainability 13, no. 3 (2021): 1487. http://dx.doi.org/10.3390/su13031487.

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Significant risk factors that influence the occurrence of heavy vehicle accidents have been explored in numerous studies in order to lower injury severity in traffic accidents. It is imperative to explore road sections with a high risk of heavy vehicle accident occurrence by considering the significant consequences of such accidents for road users, despite the low number of heavy vehicles in traffic flow. To address this, this study proposes a method to predict clustering hotspots for heavy vehicle accidents on the basis of three different criteria, namely, heavy vehicle accident cases, the nu
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Khanh Giang, Le, Huong Ho Thi Lan, Do Van Manh, and Tran Quang Hoc. "Applying a two-step cluster algorithm in traffic accident data analysis." Transport and Communications Science Journal 75, no. 4 (2024): 1673–87. http://dx.doi.org/10.47869/tcsj.75.4.16.

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Cluster analysis is often employed as the initial stage in organizing heterogeneous data into homogeneous groups. Choosing an effective clustering approach and an ideal number of clusters in a traffic accident dataset might be complex and challenging. This study aims to evaluate the effectiveness of k-means and two-step cluster methods. Subsequently, the two-step cluster method and GIS are applied to analyze the traffic accident datasets from 2015 to 2017 in Hanoi, Vietnam. First, according to the Silhouette score, the two-step cluster method achieved a higher score of 0.563, while the k-means
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Hong, Seok Bum, and Hong Sik Yun. "Predicting black ice-related accidents with probabilistic modeling using GIS-based Monte Carlo simulation." PLOS ONE 19, no. 5 (2024): e0303605. http://dx.doi.org/10.1371/journal.pone.0303605.

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Black ice, a phenomenon that occurs abruptly owing to freezing rain, is difficult for drivers to identify because it mirrors the color of the road. Effectively managing the occurrence of unforeseen accidents caused by black ice requires predicting their probability using spatial, weather, and traffic factors and formulating appropriate countermeasures. Among these factors, weather and traffic exhibit the highest levels of uncertainty. To address these uncertainties, a study was conducted using a Monte Carlo simulation based on random values to predict the probability of black ice accidents at
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Lee, Jonghak, Sangyoup Kim, Tae-Young Heo, and Dongwoo Lee. "Identifying the Roadway Infrastructure Factors Affecting Road Accidents Using Interpretable Machine Learning and Data Augmentation." Applied Sciences 15, no. 2 (2025): 501. https://doi.org/10.3390/app15020501.

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In modern society, vehicle accidents have been a factor that has adversely affected national development for a long time. Many countries have tried to solve this issue, and various solutions have been studied. This study aims to design a process for analyzing vehicle accidents to support safety interventions. In the data preprocessing section, a resampling technique was used to solve the data imbalance problem. Then, we applied five different machine learning models for classification by applying hyperparameter optimization. After classification, model-agnostic interpretation techniques were u
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Du, Lijing, Fasheng Huang, Hua Lu, Sijing Chen, and Qianwen Guo. "An Association Rule Mining-Based Modeling Framework for Characterizing Urban Road Traffic Accidents." Sustainability 16, no. 23 (2024): 10597. https://doi.org/10.3390/su162310597.

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The World Health Organization has recognized road traffic accidents as a global crisis, particularly in urban environments. Despite extensive research endeavors, significant gaps remain in our understanding of how various factors interact to influence urban road traffic incidents. This study analyzed data from 4285 urban road traffic accidents in Hubei Province, employing a two-step clustering algorithm to classify accidents into distinct groups based on specific conditions. Subsequently, association rule mining was utilized to discern relationships between accident characteristics within each
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Shiomi, Yasuhiro, Kazuki Watanabe, Hideki Nakamura, and Hirokazu Akahane. "Assessing Safety of Signalized Intersections: Influence of Geometric Attributes and Regionality on Traffic Accident Risk." Transportation Research Record: Journal of the Transportation Research Board 2659, no. 1 (2017): 71–79. http://dx.doi.org/10.3141/2659-08.

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Traffic accidents constitute a serious social problem. Thus, it is essential to identify and remove the risk factors affecting traffic accidents to enhance traffic safety at intersections. This study identified and quantified the main factors influencing traffic accident risk at signalized intersections to propose effective countermeasures. Google Earth was used to collect numerical data related to the geometric attributes of intersections in three regions in Japan: Kagawa, Shiga, and Aichi. A lognormal hurdle model that considered regionality and geometric attributes was then used to quantify
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32

Jadaan, Khair, Mohammad Abojaradeh, Ashraf Shaqadan, Dua Abojaradeh, and Imad Alshalout. "Analysis of Human and Cultural Factors Causing Risk of Accidents in Jordanian Drivers." International Journal of Safety and Security Engineering 12, no. 5 (2022): 589–95. http://dx.doi.org/10.18280/ijsse.120506.

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The major objective of this research paper is to investigate the Traffic Safety culture among Jordanian drivers, and to identify common aggressive behaviors, and its association to diverse social factors. An online survey questionnaire was distributed among drivers in Jordan; samples were collected in the Amman area in 2019. The data analysis of the survey was analyzed using the statistical program SPSS. The survey questions were based on methods found in the (AAA foundation’s Annual Traffic Safety Culture). It was found that drivers in Jordan have high exposure to traffic accidents, where one
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Ren, Gui Jiao, and Dong Chang Zhang. "The Analysis of Causes and Treatment of Countermeasures for the Accident-Prone Section of Yu-Chang Freeway." Applied Mechanics and Materials 97-98 (September 2011): 226–29. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.226.

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Against the status quo of Yu-Chang freeway traffic accidents occur frequently, through the investigation of traffic accidents, Summarized characteristics of typical traffic accidents of Yu-Chang Freeway, analyzed the causes of traffic accidents from the four major factors of people, vehicles, roads and environment, provided some treatment strategies which can solve the status of the frequent occurrence of traffic accidents, and which will protect the this highway of harmony ,safe and smooth.
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34

Sun, Yan, and Zhihua Tang. "Traffic accident analysis and Control Countermeasures of fatigue driving on Expressway." Journal of Physics: Conference Series 1906, no. 1 (2021): 012010. http://dx.doi.org/10.1088/1742-6596/1906/1/012010.

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Ma, Changxi, Jibiao Zhou, and Dong Yang. "Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model." International Journal of Environmental Research and Public Health 17, no. 4 (2020): 1259. http://dx.doi.org/10.3390/ijerph17041259.

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Understanding the influence factors and related causation of hazardous materials can improve hazardous materials drivers’ safety awareness and help traffic professionals to develop effective countermeasures. This study investigates the statistical distribution characteristics, such as types of hazardous materials transportation accidents, driver properties, vehicle properties, environmental properties, road properties. In total, 343 data regarding hazardous materials accidents were collected from the chemical accident information network of China. An ordered logit regression (OLR) model is pro
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Starčević, Martin, Danijela Barić, and Hrvoje Pilko. "Survey-based Impact of Influencing Parameters on Level Crossings Safety." PROMET - Traffic&Transportation 28, no. 6 (2016): 639–49. http://dx.doi.org/10.7307/ptt.v28i6.2208.

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Level crossing (LC) accidents are a significant safety challenge worldwide and for that reason they have been subject of numerous research activities. Joint conclusion is that human behaviour is the main cause of accidents. This study examines how and to which extent certain influential parameters cause accident mechanisms on level crossings. To gain the necessary data we used an on-line survey questionnaire that was sent internationally to key experts in the field of road and railway safety. A total of 185 experts were asked to rank how much certain parameters influence level crossings accide
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Benny Hamdi Rhoma Putra and Doni Rinaldi Basri. "UPAYA PENINGKATAN KESELAMATAN PADA LOKASI RAWAN KECELAKAAN DI RUAS JALAN KOTA PEKANBARU." Jurnal Infrastruktur 3, no. 2 (2019): 91–98. http://dx.doi.org/10.35814/infrastruktur.v3i2.708.

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Traffic accidents are stochastic and occur due to a combination of several factors. Due to disadvantages by accidents, it is necessary to have a study to improve road safety. This research take the case on the roads in Pekanbaru City. Secondary data in the form of accident report obtained from Ditlantas Polda RIAU. While the primary data obtained directly from the survey location and questionnaire location accident-prone. The purpose of this research is to find blackspot area based on the result of the highest accident rate ranking, perform safety analysis, conflict analysis at blackspot locat
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Eck, Ronald W., and E. Darin Simpson. "Using Medical Records in Non-Motor-Vehicle Pedestrian Accident Identification and Countermeasure Development." Transportation Research Record: Journal of the Transportation Research Board 1538, no. 1 (1996): 54–60. http://dx.doi.org/10.1177/0361198196153800107.

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A study was conducted to determine the feasibility of using emergency room and emergency medical service records in quantifying rural non-motor-vehicle pedestrian accidents and in developing countermeasures to reduce injuries resulting from such accidents. A literature review indicated that although non-motor-vehicle pedestrian accidents are a significant injury problem in the United States, there does not appear to be an effective process for collecting data about those accidents that corresponds to the data collection methods used at present for motor-vehicle accidents. A multistep process f
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Omar Mohamed, Buseif, Nur Izzi Yusoff, Muhammad Mubaraki, and Sri Atmaja Rosyidi. "Statistical Overview of Factors Influencing Traffic Accidents Severity On El-Brega Coastal Freeway in Libya." Open Transportation Journal 13, no. 1 (2019): 154–61. http://dx.doi.org/10.2174/1874447801913010154.

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Background: Globally, Road Traffic Accidents (RTAs) are one of the significant causes of fatality and injury. In Libya, RTAs have resulted in disabilities and were the third leading cause of death. However, there is a lack of information on RTAs and road safety in Libya. Objective: The present study aims to fill the knowledge gap by performing a statistical analysis to identify the factors associated with road accident severity in El-Brega Coastal Freeway. Methods: RTAs data extracted from police investigation reports in Ajdabiya Municipality for the period from 2001 to 2010. Then descriptive
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Wan, Xiaokang, and Ying Hong. "Problems and Countermeasures in Copying of Medical Record of Traffic Accident Injury." Chinese Medical Record English Edition 2, no. 1 (2014): 34–36. http://dx.doi.org/10.3109/23256176.2014.897501.

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Thorsen, Knud Aage. "Forensic Examination of Bulb Filaments By the Sem." Proceedings, annual meeting, Electron Microscopy Society of America 43 (August 1985): 90–93. http://dx.doi.org/10.1017/s0424820100117522.

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In the investigation of traffic accidents, whether auto collisions or airplane crashes, it is often very important to establish whether the headlights as well as the signal and warning system of the vehicles were on or off at the moment of the accident. Legal responsibility for the specific case may thus be assigned, and countermeasures can be taken to reduce the risk of recurrences.Fortunately the incandescent lamps themselves, or more specific, their filaments, often give the key to clearing the case. The stresses generated on a filament by the accelerations and sudden stop of a collision, p
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Song, HunHwa, and SoonChul Lee. "Changes in traffic accident risk degree according to driving workload rate and moderate effect of ego-resilience." Korean Journal of Industrial and Organizational Psychology 24, no. 1 (2011): 29–50. http://dx.doi.org/10.24230/kjiop.v24i1.29-50.

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This research was conducted to verify changes in traffic accident risk level according to driving workload rate and the moderate effect of ego-resilience. Several hypotheses were made by considering previous studies, in which the traffic accident risk level measured according to Traffic Accident Risk Index (TARI) and Driving Behavior Determinants (DBD) differed from the driving workload rate. Furthermore, Ego-resilience was also considered as a human factor, which has the moderate effect between workload and TARI, DBD. A total of 260 drivers participated in the survey. The result of the factor
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Zhang, Yijing, Zhan Zhang, Zhenyu Wang, Tongtong Lyu, Xianing Wang, and Linjun Lu. "Accident Diagnosis and Evaluation System in Parking Lots Using Multisource Data Based on Bayesian Networks." Journal of Advanced Transportation 2023 (February 9, 2023): 1–19. http://dx.doi.org/10.1155/2023/3150003.

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Parking lots have many complex structures, diverse functions, and plentiful elements. The frequent flow of vehicles with narrow and dim spaces increases the probability of various traffic accidents. Due to the low severity and lack of relevant data, there is limited understanding of safety analyses for parking lot accidents. This study integrates multisource data to establish a Bayesian diagnostic model for parking lot accidents. The mutual information method is used to screen the possible influencing factors before modeling to reduce the subjectivity of Bayesian networks. Studying the cause a
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TAKAHASHI, Kiyoshi, Hironori KATO, Shintaro TERABE, and Yusuke TAKANO. "STUDY ON THE COLLABORATION, COOPERATION FOR CONFLICT OF EXECUTION SUBJECT IN TRAFFIC ACCIDENT COUNTERMEASURES." SOCIOTECHNICA 3 (2005): 259–68. http://dx.doi.org/10.3392/sociotechnica.3.259.

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Ospina-Mateus, Holman, Leonardo Augusto Quintana Jiménez, Francisco J. Lopez-Valdes, and Shib Sankar Sana. "Prediction of motorcyclist traffic crashes in Cartagena (Colombia): development of a safety performance function." RAIRO - Operations Research 55, no. 3 (2021): 1257–78. http://dx.doi.org/10.1051/ro/2021055.

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Motorcyclists account for more than 380 000 deaths annually worldwide from road traffic accidents. Motorcyclists are the most vulnerable road users worldwide to road safety (28% of global fatalities), together with cyclists and pedestrians. Approximately 80% of deaths are from low- or middle-income countries. Colombia has a rate of 9.7 deaths per 100 000 inhabitants, which places it 10th in the world. Motorcycles in Colombia correspond to 57% of the fleet and generate an average of 51% of fatalities per year. This study aims to identify significant factors of the environment, traffic volume, a
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Wang, Jianjun, Chicheng Ma, Sai Wang, Xiaojuan Lu, and Dongyi Li. "Risk Assessment Model and Sensitivity Analysis of Ordinary Arterial Highways Based on RSR–CRITIC–LVSSM–EFAST." Sustainability 14, no. 23 (2022): 16096. http://dx.doi.org/10.3390/su142316096.

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In this paper, in order to evaluate the traffic safety status of ordinary arterial highways, identify the sources of safety risks, and formulate safety development countermeasures for arterial highways to reduce accident risks, a combination method involving rank-sum ratio (RSR), criteria importance though intercriteria correlation (CRITIC), and least squares support vector machine (LVSSM) is adopted. The traffic safety risk index system and risk assessment model of ordinary arterial highways with two dimensions of risk severity and accident severity are established. Based on the global sensit
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Xiong, Xiaoxia, Shuichao Zhang, and Yujie Shen. "Research on Urban Road Traffic Accident Characteristics and Countermeasures: A Case Study of Ningbo City." Journal of Physics: Conference Series 1910, no. 1 (2021): 012008. http://dx.doi.org/10.1088/1742-6596/1910/1/012008.

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Khan, Khawar, Syed Bilal Zaidi, and Asad Ali. "Evaluating the Nature of Distractive Driving Factors towards Road Traffic Accident." Civil Engineering Journal 6, no. 8 (2020): 1555–80. http://dx.doi.org/10.28991/cej-2020-03091567.

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For past two decades many researchers have been working on quantitative as well as qualitative study of distractive driving using different approaches. Road traffic accidents have been identified as the main source of human casualties and cause of damages to the economy and society, as millions of humans is killed every year in these accidents around the world. National-level studies in Pakistan reveal that a higher percentage of males in the age group from twenty to forty years lose their lives in road traffic accidents when compared with that of females. Due to these factors, it is alarming
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Chandraratna, Susantha, and Nikiforos Stamatiadis. "Problem Driving Maneuvers of Elderly Drivers." Transportation Research Record: Journal of the Transportation Research Board 1843, no. 1 (2003): 89–95. http://dx.doi.org/10.3141/1843-11.

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Older drivers, who are the fastest growing segment of the U.S. population, experience high crash rates. An analysis was performed to evaluate potential problem maneuvers that may lead to higher crash involvement. Left turns against oncoming traffic, gap acceptance for crossing non-limited-access highways, and high-speed lane changes on limited-access highways are identified as such maneuvers. Older and younger driver accident propensities are measured, using Kentucky crash data. The findings of the analysis show that older drivers are more likely to be involved in crashes related with these ma
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Guido, Giuseppe, Alessandro Vitale, Vincenzo Gallelli, and Giuseppe Figliomeni. "Level of Safety on Two-Lane Undivided Rural Highways." Applied Mechanics and Materials 253-255 (December 2012): 1705–10. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1705.

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Due to the great increase of congestion levels on transportation infrastructures researchers and practitioners have focused on the study of safety performance on road network to identify unsafe locations and assess the effectiveness of different countermeasures introduced at a given site to reduce unacceptable accident risk. Safety performance measures represent an useful tool for evaluating road safety conditions on the basis of objective parameters deducible from the vehicle kinematics. The focus of the present paper is on the assessment of the safety level on two-lane rural highway with a p
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