Influence of pedestrian-to-vehicle technology on drivers' response and safety benefits considering pre-crash conditions

被引:10
作者
Yue, Lishengsa [1 ]
Abdel-Aty, Mohamed [1 ]
Wu, Yina [1 ]
Yuan, Jinghui [1 ]
Morris, Morgan [1 ]
机构
[1] Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USA
关键词
Pedestrian-to-vehicle technology; Driver response behavior; Safety benefit; Driving simulator; BEHAVIOR; TRUST; LTE;
D O I
10.1016/j.trf.2020.06.012
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Pedestrian-to-vehicle (P2V) technology may offer a promising approach to reducing pedestrian crashes. However, its influences on both driver response and safety benefits have been little studied in previous research, particularly in regard to the variation of influences between different pre-crash scenarios. To investigate these influences, this study designed three pre-crash scenarios based on pedestrian crash contributing factors identified from crash reports, and collected 44 drivers' driving simulator experiments' data. The results clarified how using P2V technology to warn drivers of an impending collision improves safety by causing a series of changes for both brake operation and braking profile. These series of changes were further demonstrated to vary between scenarios. The study showed that P2V technology may be particularly useful in scenarios in which a pedestrian's crossing intention is unclear; specifically, in this type of scenario, the P2V warning had changed the braking process from a panic brake of "slow reaction-hard brake" to a comfortable brake of "quick reaction-gentle brake." In addition, the P2V warning may be less effective in "low-risk" level scenarios where a driver is confident that he/she can handle the situation through a more conservative evasive action and don't need to react strongly to a warning. Moreover, depending on the pre-crash scenario, the P2V warning may be mostly beneficial for drivers who had a crash/citation in the past five years and working-aged drivers. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:50 / 65
页数:16
相关论文
共 41 条
  • [31] Van Der Horst R., 1993, P 6 ICTCT WORKSH SAF
  • [32] A Markovian model of pedestrian behavior
    Wakim, CF
    Capperon, S
    Oksman, J
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 4028 - 4033
  • [33] How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis
    Wang, Ling
    Zhong, Hao
    Ma, Wanjing
    Abdel-Aty, Mohamed
    Park, Juneyoung
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2020, 136
  • [34] Determination if VISSIM and SSAM could estimate pedestrian-vehicle conflicts at signalized intersections
    Wu, Jiawei
    Radwan, Essam
    Abou-Senna, Hatem
    [J]. JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2018, 10 (06) : 572 - 585
  • [35] Wu Xinzhou, 2014, 2014 IEEE 80 VEH TEC, P1
  • [36] Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions
    Wu, Yina
    Abdel-Aty, Mohamed
    Park, Juneyoung
    Zhu, Jiazheng
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 95 : 481 - 492
  • [37] Driving-Simulator-Based Test on the Effectiveness of Auditory Red-Light Running Vehicle Warning System Based on Time-To-Collision Sensor
    Yan, Xuedong
    Xue, Qingwan
    Ma, Lu
    Xu, Yongcun
    [J]. SENSORS, 2014, 14 (02) : 3631 - 3651
  • [38] Examination and prediction of drivers' reaction when provided with V2I communication-based intersection maneuver strategies
    Yu, Bo
    Bao, Shan
    Feng, Fred
    Sayer, James
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 106 : 17 - 28
  • [39] In-depth approach for identifying crash causation patterns and its implications for pedestrian crash prevention
    Yue, Lishengsa
    Abdel-Aty, Mohamed
    Wu, Yina
    Zheng, Ou
    Yuan, Jinghui
    [J]. JOURNAL OF SAFETY RESEARCH, 2020, 73 : 119 - 132
  • [40] Driving distracted with friends: Effect of passengers and driver distraction on young drivers' behavior
    Zhang, Fangda
    Mehrotra, Shashank
    Roberts, Shannon C.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2019, 132