Analysis of influencing factors for rear-end collision on the freeway

被引:8
|
作者
Xi, Jianfeng [1 ]
Guo, Hongyu [1 ]
Tian, Jian [2 ]
Liu, Lisa [3 ]
Sun, Weifu [1 ]
机构
[1] Jilin Univ, Changchun, Jilin, Peoples R China
[2] China Acad Transportat Sci, Beijing, Peoples R China
[3] AECOM Canada Ltd, Calgary, AB, Canada
关键词
Freeway; rear-end collision; influencing factors; quasi-induced exposure; logistic regression; DRIVER INJURY SEVERITY; QUASI-INDUCED EXPOSURE; SIGNALIZED INTERSECTIONS; CRASHES; SAFETY; RISK;
D O I
10.1177/1687814019865079
中图分类号
O414.1 [热力学];
学科分类号
摘要
Rear-end collision accounts for the main type of traffic accidents occurring on the freeway. In order to extract the significant influence factors of rear-end collision on the freeway, this study utilized the data of freeway traffic accidents between 2010 and 2015 in China. First, based on quasi-induced exposure theory, the information of driver, vehicle, and road environment was analyzed. Gender, age, driving age, vehicle safety, load, weather, fatigue, driving speed, road alignment, accident time, and visibility were selected as the important factors that might affect rear-end collision. Second, based on logistic regression model, the influencing factors analysis model of freeway rear-end collision was established. In the regression analysis, the possible important factors selected were taken as the independent variables, and the accident responsibility was taken as the dependent variable. Then, the factors that had significant influence on rear-end collision were selected from candidate independent variables by stepwise regression method. Finally, the specific influence of driving age, load, weather, accident time, visibility, fatigue, and driving speed on rear-end collision occurring on the freeway was discussed. The analysis results were explained according to the odds ratio. The research results of this article can provide guidance for the prevention of rear-end collision on the freeway and theoretical support for the development of freeway early warning system.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Prediction of Freeway Rear-End Collision Risk Based on Trajectory Data
    Wen, Hui-Ying
    Cheng, Jie
    Zhao, Sheng
    [J]. CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION, 2023, : 1329 - 1339
  • [2] A study on the design and control of vehicle rear-end collision avoidance system in freeway
    Yin, Xiaoqin
    Zhu, Xihang
    Zhang, Panpan
    [J]. Qiche Gongcheng/Automotive Engineering, 2014, 36 (09): : 1080 - 1084
  • [3] Analysis on the heterogeneity of factors influencing the rear-end crash severity on highways
    Yuan, Renteng
    Wang, Chenzhu
    Xiang, Qiaojun
    [J]. Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2024, 54 (05): : 1231 - 1238
  • [4] Rear-end collision warning system on account of a rear-end monitoring camera
    Chang, Tang-Hsien
    Chou, Chen-Ju
    [J]. 2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2, 2009, : 913 - 917
  • [5] PROPERTIES OF FREEWAY REAR-END CRASH CLUSTERS
    Abdel-Aty, Mohamed
    Pande, Anurag
    [J]. TRANSPORTATION STUDIES: SUSTAINABLE TRANSPORTATION, PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE OF HONG KONG SOCIETY FOR TRANSPORTATION STUDIES, 2006, : 101 - 110
  • [6] Research on Fuzzy Inference of Driver's Risk Perception of Rear-end Collision on Freeway
    Lu Siwen
    Zheng Shiwen
    [J]. ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS, 2009, : 772 - 775
  • [7] Simulation on Vehicle Speed Analysis of Rear-end Collision
    Tang, Yangshan
    Wang, Fengjiao
    [J]. EQUIPMENT MANUFACTURING TECHNOLOGY AND AUTOMATION, PTS 1-3, 2011, 317-319 : 2320 - +
  • [8] Rear-End Collision Risk Analysis for Autonomous Driving
    Liang, Ci
    Ghazel, Mohamed
    Ci, Yusheng
    El Faouzi, Nour-Eddin
    Wang, Rui
    Zheng, Wei
    [J]. COMPUTER SAFETY, RELIABILITY, AND SECURITY, SAFECOMP 2023 WORKSHOPS, 2023, 14182 : 271 - 282
  • [9] Modeling Urban Freeway Rear-End Collision Risk Using Machine Learning Algorithms
    Ma, Xiaolong
    Yu, Qiang
    Liu, Jianbei
    [J]. SUSTAINABILITY, 2022, 14 (19)
  • [10] REAR-END COLLISION NECK SPRAINS
    TUELL, I
    [J]. JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME, 1959, 41 (03): : 555 - 556