Study on the Effectiveness of Driving Fatigue Prevention Safety Facility on Grassland Highway Based on Driving Simulation

被引:0
|
作者
Liu, Yibing [1 ]
Zhao, Xiaohua [2 ]
Wu, YiPing [1 ]
机构
[1] Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, Beijing, Peoples R China
[2] Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing, Peoples R China
关键词
Grassland highway; Driving simulation; Fatigue prevention facility; Driving fatigue; RT performance; DRIVER FATIGUE; SLEEPINESS; PERFORMANCE; TIME;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In the grassland highway environment, monotonous landscape is likely to cause drivers driving fatigue, which leads to the occurrence of traffic accidents. For this reason, the application of driving fatigue prevention safety facilities is particularly important. In this paper a kind of colored road pavement fatigue prevention safety facility was mentioned. Studies have shown that driving fatigue is easy to cause changes in drivers' driving behavior and alertness. In this paper, a driving simulation experiment was conducted, based on the analysis of driver's driving behavior, KSS value and reaction time, significance analysis were used to analyze the effectiveness of the fatigue prevention safety facility. The result showed that the colored road pavement fatigue prevention safety facility could make a difference on drivers' driving behavior and reduce the increase of drivers' feelings of fatigue and reaction time. The experimental results could provide reference for the application of fatigue prevention safety facilities.
引用
收藏
页码:264 / 274
页数:11
相关论文
共 50 条
  • [31] Influence of Sidewall Color of Highway Long Tunnel on Driving Safety
    Hu, Fei
    Chen, Fei
    Zhu, Jiayun
    Wang, Zeng'an
    CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD, 2019, : 510 - 521
  • [32] Highway Safety with an Intelligent Headlight System for Improved Nighttime Driving
    Nkrumah, Jacob Kwaku
    Cai, Yingfeng
    Jafaripournimchahi, Ammar
    Wang, Hai
    Atindana, Vincent Akolbire
    SENSORS, 2024, 24 (22)
  • [33] Trajectory Prediction for Safety Critical Maneuvers in Automated Highway Driving
    Wissing, Christian
    Nattermann, Till
    Glander, Karl-Heinz
    Bertram, Torsten
    2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 131 - 136
  • [34] EVALUATION OF PAVEMENT RUNOFF AND DRIVING SAFETY ON HIGHWAY CURVE SEGMENT
    Geng, Yanfen
    Zhou, Huanyun
    Gong, Xiaojing
    Ma, Yaolu
    Chen, Xianhua
    BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING, 2021, 16 (04): : 176 - 191
  • [35] Driving Fatigue in Extra-Long Highway Tunnels and a Bayesian Networks-Based Fatigue Detection Method
    Zhang, Cong
    Wan, Hongmei
    Zhou, Chao
    Jin, Xin
    Cheng, Yongzhen
    Li, Yue
    TRANSPORTATION RESEARCH RECORD, 2024, 2678 (12) : 1591 - 1613
  • [36] Driving visual demand-based safety evaluation of mountainous highway horizontal curve
    Pan X.
    Fang Q.
    Jiang H.
    Tongji Daxue Xuebao/Journal of Tongji University, 2010, 38 (12): : 1793 - 1766
  • [37] Evaluation of Drowsiness during Driving based on Heart Rate Analysis - a driving simulation study
    Tasaki, Masaru
    Wang, Hui
    Sakai, Motoaki
    Watanabe, Mai
    Jin, Qun
    Wei, Daming
    2010 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS (BIBMW), 2010, : 411 - 416
  • [38] A Study on the Effects of Fatigue Driving and Drunk Driving on Drivers' Physical Characteristics
    Zhang, Xingjian
    Zhao, Xiaohua
    Du, Hongji
    Rong, Jian
    TRAFFIC INJURY PREVENTION, 2014, 15 (08) : 801 - 808
  • [39] Research on the Effectiveness of Tunnel Inner Facade Marking Based on Driving Simulation
    Gao, Long-Kai
    Zhao, Xiao-Hua
    Zhang, Chang-Fen
    Ju, Yun-Jie
    CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 4291 - 4302
  • [40] Detecting driving fatigue based on electroencephalogram
    Wu, Shao-Bin
    Gao, Li
    Wang, Liu-An
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2009, 29 (12): : 1072 - 1075