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

被引:51
|
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
来源
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
  • [31] Driving Risk Identification Method Based on Dangerous Driving Behavior Spectrum on Ice and Snow Pavement
    Cheng, Guozhu
    Li, Tianyi
    Wang, Guopeng
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2024, 24 (04): : 127 - 138
  • [32] EFFECTS OF CHEVRONS, POST-MOUNTED DELINEATORS, AND RAISED PAVEMENT MARKERS ON DRIVER BEHAVIOR AT ROADWAY CURVES.
    Zador, Paul
    Stein, Howard S.
    Wright, Paul
    Hall, Jerome
    Transportation Research Record, 1987, : 1 - 10
  • [33] Driving Simulation of the Safety and Operation Performance at a Freeway Toll Plaza
    Valdes, Didier
    Colucci, Benjamin
    Fisher, Donald L.
    Ruiz, Johnathan
    Colon, Enid
    Garcia, Ricardo
    TRANSPORTATION RESEARCH RECORD, 2016, (2602) : 129 - 137
  • [34] Safety Analyses of Different Intelligent Vehicle Driving Mode on Freeway
    Liu, Yang
    Wang, Zhong-li
    2017 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS (ICEAA), 2017, : 1190 - 1193
  • [35] Analysis of Guide Signs at Closely Dense Exit Section of Freeway Based on Driving Behavior
    Zhu, Xiangmin
    Chen, Yanan
    Li, Meiling
    Liu, Qiqi
    Wu, Xiaopei
    CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION, 2023, : 1473 - 1483
  • [36] Vibration Effect Produced by Raised Pavement Markers on the Exit Ramp of an Expressway
    Liang, Guohua
    Yin, Yujie
    Zhang, Dong
    Li, Rui
    Wu, Yan
    Li, Yu
    JOURNAL OF ADVANCED TRANSPORTATION, 2019, 2019
  • [37] 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)
  • [38] Analysis of Freeway Safety Influencing Factors on Driving Workload and Performance Based on the Gray Correlation Method
    Xie, Lian
    Wu, Chaozhong
    Duan, Min
    Lyu, Nengchao
    JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021
  • [39] A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception
    Jin, Jieling
    Li, Ye
    Huang, Helai
    Dong, Yuxuan
    Liu, Pan
    ACCIDENT ANALYSIS AND PREVENTION, 2024, 201
  • [40] A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception
    Jin, Jieling
    Li, Ye
    Huang, Helai
    Dong, Yuxuan
    Liu, Pan
    Accident Analysis and Prevention, 2024, 201