Design of Vehicle-Road Cooperative Assistant Decision System for Active Safety at Intersections

被引:4
|
作者
Qu, Da-yi [1 ]
Zhao, Zi-xu [1 ]
Song, Hui [1 ]
Wang, Tao [1 ]
Jia, Yan-feng [1 ]
机构
[1] Qingdao Univ Technol, Sch Mech & Automot Engn, Qingdao 266520, Shandong, Peoples R China
关键词
D O I
10.1061/JTEPBS.0000675
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To control driving speed at intersections and assist drivers in making accurate decisions, a vehicle-road collaborative decision-making system for the active safety of intersections was developed. The system is divided into three modules: information collection, decision-making control, and intelligent underground lamps. According to the signal phase of intersections and the speed information of approaching vehicles, the auxiliary decision-making model is established based on an analysis of the dynamic characteristics of the dilemma zone. The state of the dynamic yellow light and intelligent underground lamps are controlled based on judgment results. The intelligent underground lamps can be flexibly switched between the three states, and the driver can be alerted by vision. In addition, the dynamic yellow light time can effectively avoid the risk of intersection accidents, shorten the time delay caused by conservative driving behavior, and improve the overall robustness of the road network. (C) 2022 American Society of Civil Engineers.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Design of Coordinated Control System for Loop Traffic in Vehicle-Road Cooperative Environment
    Jia, Zhiyan
    Ding, Yong
    2019 2ND INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND ENGINEERING TECHNOLOGY (MEET 2019), 2019, : 288 - 292
  • [2] A Cooperative Vehicle-Road System for Anomaly Detection on Vehicle Tracks With Augmented Intelligence of Things
    Zhang, Yuxin
    Lin, Limei
    Huang, Yanze
    Wang, Xiaoding
    Hsieh, Sun-Yuan
    Gadekallu, Thippa Reddy
    Piran, Md. Jalil
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (22): : 35975 - 35988
  • [3] IDENTIFICATION OF THE SYSTEM VEHICLE-ROAD PARAMETERS
    KROPAC, O
    SPRINC, J
    VEHICLE SYSTEM DYNAMICS, 1982, 11 (04) : 241 - 249
  • [4] Autonomous Cooperative Vehicle Coordination at Road Intersections
    Mo, Yangan
    Wang, Mengqi
    Zhang, Tingting
    Zhang, Qinyu
    PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS 2018), 2018, : 192 - 197
  • [5] Assistant Decision-Making System for Road Safety Strategy
    Yu, Qing
    Guo, Zhongyin
    Zhang, Zhizhong
    Wang, Jinhui
    INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013), 2013, 96 : 320 - 328
  • [6] A survey of connected shared vehicle-road cooperative intelligent transportation systems
    Guo G.
    Xu Y.-G.
    Xu T.
    Li D.-D.
    Wang Y.-P.
    Yuan W.
    Kongzhi yu Juece/Control and Decision, 2019, 34 (11): : 2375 - 2389
  • [7] Modeling of dynamic vehicle-road interactions for safety-related road evaluation
    Orfila, O.
    Coiret, A.
    Do, M. T.
    Mammar, S.
    ACCIDENT ANALYSIS AND PREVENTION, 2010, 42 (06): : 1736 - 1743
  • [8] Dynamic model and simulation of a vehicle-road coupled system
    Zhang, Bing-Qiang
    Li, Liang
    Zhendong yu Chongji/Journal of Vibration and Shock, 2010, 29 (02): : 35 - 38
  • [9] Coupled dynamic Analysis and Verification of Vehicle-Road System
    Luo, Hong
    Liang, Bo
    ADVANCED TRANSPORTATION, PTS 1 AND 2, 2011, 97-98 : 208 - +
  • [10] Intelligent Research Based on Deep Learning Recognition Method in Vehicle-Road Cooperative Information Interaction System
    Jiao, Hongbin
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022