Effect of vehicle external acceleration signal light on pedestrian-vehicle interaction

被引:0
|
作者
Feng Li
Wenjun Pan
Jiali Xiang
机构
[1] Zhejiang Sci-Tech University,School of Art and Design
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The number of casualties resulting from collisions between pedestrians and motor vehicles continues to rise. A significant factor is the misunderstanding of vehicle behavior intentions by pedestrians. This is especially true with the continuous development of vehicle automation technology, which has reduced direct interaction between drivers and the outside world. Therefore, accurate communication of vehicle behavior intentions is becoming increasingly important. The purpose of this study is to investigate the impact of external vehicle acceleration signal light on the interaction experience between pedestrians and vehicles. The differences between the use and nonuse of acceleration signal light are compared through controlled test track experiments in real scenarios and in videos.The results show that acceleration signal light help pedestrians understand vehicle behavior intentions more quickly and make safer crossing decisions as well as improving their perception of safety when crossing the street and their trust in vehicle behavior.
引用
收藏
相关论文
共 50 条
  • [41] FACTORS ASSOCIATED WITH PEDESTRIAN-VEHICLE COLLISION INJURIES AND FATALITIES
    MUELLER, BA
    RIVARA, FP
    BERGMAN, AB
    [J]. WESTERN JOURNAL OF MEDICINE, 1987, 146 (02): : 243 - 245
  • [42] Pedestrian-Vehicle Transit from a Psychocultural Point of View
    Brenes, Gilbert Ulloa
    [J]. REVISTA COSTARRICENSE DE PSICOLOGIA, 2011, 30 (45-46): : 95 - 112
  • [43] Conditions for Setting Exclusive Pedestrian Phases at Two-Phase Signalized Intersections considering Pedestrian-Vehicle Interaction
    Wang, Jiawen
    Yang, Chengcheng
    Zhao, Jing
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021
  • [44] Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis
    Ridel, Daniela A.
    Deo, Nachiket
    Wolf, Denis
    Trivedi, Mohan
    [J]. 2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), 2019, : 913 - 918
  • [45] PVII: A pedestrian-vehicle interactive and iterative prediction framework for pedestrian's trajectory
    Shen, Qianwen
    Huang, Shien
    Sun, Baixi
    Chen, Xinyu
    Tao, Dingwen
    Wan, Huaiyu
    Bao, Ergude
    [J]. APPLIED INTELLIGENCE, 2024, 54 (20) : 9881 - 9891
  • [46] Probabilistic risk assessment for pedestrian-vehicle collision considering uncertainties of pedestrian mobility
    Huang, Zhi
    Liu, Xiangyi
    Song, Xiaolin
    He, Yin
    [J]. TRAFFIC INJURY PREVENTION, 2017, 18 (06) : 650 - 656
  • [47] Automated Analysis of Pedestrian-Vehicle Conflicts Using Video Data
    Ismail, Karim
    Sayed, Tarek
    Saunier, Nicolas
    Lim, Clark
    [J]. TRANSPORTATION RESEARCH RECORD, 2009, (2140) : 44 - 54
  • [48] Pedestrian-vehicle interaction severity level assessment at uncontrolled intersections using machine learning algorithms
    Govinda, Lalam
    Raju, M. R. Sai Kiran
    Shankar, K. V. R. Ravi
    [J]. SAFETY SCIENCE, 2022, 153
  • [49] Analysis of Spontaneous Order of Pedestrian-Vehicle Conflicts at Signalized Intersections
    Kumar, Abhinav
    Ghosh, Indrajit
    [J]. TRANSPORTATION RESEARCH RECORD, 2020, 2674 (11) : 440 - 454
  • [50] Augmented reality interfaces for pedestrian-vehicle interactions: An online study
    Tabone, Wilbert
    Happee, Riender
    Garcia, Jorge
    Lee, Yee Mun
    Lupetti, Maria Luce
    Merat, Natasha
    de Winter, Joost
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 94 : 170 - 189