Safety of Raised Pavement Markers in Freeway Tunnels Based on Driving Behavior

被引:57
|
作者
Zhao, Xiaohua [1 ]
Ju, Yunjie [2 ]
Li, Haijian [1 ]
Zhang, Changfen [2 ]
Ma, Jianming [3 ]
机构
[1] Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
[2] Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transportat Operat Gua, Beijing 100124, Peoples R China
[3] Texas Dept Transportat, Austin, TX 78701 USA
基金
对外科技合作项目(国际科技项目);
关键词
raised pavement markers; RPMs; driving behavior; tunnel safety; SPEED REDUCTION MARKINGS; TRAFFIC ACCIDENTS; ROAD; DESIGN; MODEL; GUIDE; RISK; FOG;
D O I
10.1016/j.aap.2020.105708
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Raised pavement markers (RPMs) are among the common safety features of roads, playing an important role in preventing and reducing traffic crashes. RPMs are regarded as an effective measure for reducing the high crash rate and mortality in freeway tunnels in China. In this study, a driving simulator experiment was conducted to investigate the safety of RPMs in a freeway tunnel. Two different RPM layouts were designed and compared to a control with no RPMs, and 32 drivers participated in the driving simulator experiments. The speed, relative speed difference, lateral position, accelerator power, acceleration, and pupil area were used as indicators of the response characteristics of drivers to RPMs, and the interaction of tunnel length, tunnel zone, and RPM alternatives was discussed. The results indicate that a significant interaction effect exists between tunnel length, tunnel zone, and RPM alternatives. RPMs could help reduce driver anxiety, boredom, and fatigue caused by the dark and monotonous tunnel driving environment, and improve driver alertness and consciousness of speed. Also, the driving risk increases with increasing tunnel length (1800 m to 3500 m).
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Improving driving safety in freeway tunnels: A field study of linear visual guiding facilities
    Wang, Shoushuo
    Du, Zhigang
    Zheng, Haoran
    Han, Lei
    Xia, Xinhai
    He, Shiming
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2024, 143
  • [2] Influence of the tunnel retro-reflective arch in freeway tunnels on driving behavior: A driving simulator study
    Zhao, Xiaohua
    Ju, Yunjie
    Zhang, Changfen
    Li, Jia
    Ma, Jianming
    Guo, Jingfeng
    JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2022, 14 (06) : 929 - 948
  • [3] Analysis of Sidewall Patterns in Extra-Long Freeway Tunnels Based on Driving Behavior
    Dong, Wenhui
    Li, Zongdian
    Li, Zhi
    Zhao, Xiaohua
    Ju, Yunjie
    CICTP 2021: ADVANCED TRANSPORTATION, ENHANCED CONNECTION, 2021, : 1208 - 1217
  • [4] A review of road safety evaluation methods based on driving behavior
    Du, Zijun
    Deng, Min
    Lyu, Nengchao
    Wang, Yugang
    JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION, 2023, 10 (05) : 743 - 761
  • [5] Analysis of Driving Behavior Based on New Sidewall Design Pattern of Freeway Tunnel
    Ju, Yun-Jie
    Zhao, Xiao-Hua
    Yu, Lei-Kun
    Tao, Pan-Pan
    Zhang, Chang-Fen
    CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 4102 - 4114
  • [6] Evaluation of the effect of decorated sidewall in tunnels based on driving behavior characteristics
    Zhao, Xiaohua
    Liu, Qiqi
    Li, Haijian
    Qi, Jianyu
    Dong, Wenhui
    Ju, Yunjie
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2022, 127
  • [7] Evaluation of Pavement Rutting Based on Driving Safety of Vehicles
    Jia, Yanshun
    Wang, Shaoquan
    Peng, Jun
    Gao, Ying
    Hu, Dongliang
    Zhao, Xiaokang
    INTERNATIONAL JOURNAL OF PAVEMENT RESEARCH AND TECHNOLOGY, 2022, 15 (02) : 457 - 469
  • [8] Exit Gore Sign Forms for Freeway Based on Driving Behavior
    Zhao N.-N.
    Zhao X.-H.
    Lin Z.-Z.
    Zhu X.-F.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2020, 33 (04): : 137 - 145
  • [9] Analysis and regulation of driving behavior in the entrance area of freeway tunnels: Implementation of visual guidance systems in China
    Bei, Runzhao
    Du, Zhigang
    Huang, Ting
    Mei, Jialin
    He, Shiming
    Student, Graduate
    ACCIDENT ANALYSIS AND PREVENTION, 2024, 202
  • [10] Modeling a Car-Following Model with Comprehensive Safety Field in Freeway Tunnels
    Chen, Zheng
    Wen, Huiying
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2022, 148 (07)