Toward autonomous vehicles: A survey on cooperative vehicle-infrastructure system

被引:1
|
作者
Ji, Yangjie [1 ]
Zhou, Zewei [1 ]
Yang, Ziru [1 ]
Huang, Yanjun [1 ]
Zhang, Yuanjian [2 ]
Zhang, Wanting [1 ]
Xiong, Lu [1 ]
Yu, Zhuoping [1 ]
机构
[1] Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China
[2] Loughborough Univ, Dept Aeronaut & Automot Engn, Loughborough LE11 3TU, England
关键词
COLLISION WARNING SYSTEM; CONNECTED AUTOMATED VEHICLES; TRAFFIC SIGNAL CONTROL; TRAJECTORY OPTIMIZATION; PLACEMENT; LIDAR; VISION; SAFETY; COMMUNICATION; TECHNOLOGIES;
D O I
10.1016/j.isci.2024.109751
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cooperative vehicle -infrastructure system (CVIS) is an important part of the intelligent transport system (ITS). Autonomous vehicles have the potential to improve safety, efficiency, and energy saving through CVIS. Although a few CVIS studies have been conducted in the transportation field recently, a comprehensive analysis of CVIS is necessary, especially about how CVIS is applied in autonomous vehicles. In this paper, we overview the relevant architectures and components of CVIS. After that, state-of-the-art research and applications of CVIS in autonomous vehicles are reviewed from the perspective of improving vehicle safety, efficiency, and energy saving, including scenarios such as straight road segments, intersections, ramps, etc. In addition, the datasets and simulators used in CVIS-related studies are summarized. Finally, challenges and future directions are discussed to promote the development of CVIS and provide inspiration and reference for researchers in the field of ITS.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Roadside sensor network deployment based on vehicle-infrastructure cooperative intelligent driving
    An X.
    Cai B.
    International Journal of Intelligent Networks, 2023, 4 : 283 - 300
  • [42] PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion
    Yan, Yuxiang
    Liu, Boda
    Ai, Jianfei
    Li, Qinbu
    Wan, Ru
    Pu, Jian
    2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2024), 2024, : 17027 - 17034
  • [43] Quantifying the performance and optimizing the placement of roadside sensors for cooperative vehicle-infrastructure systems
    Du, Yuchuan
    Wang, Fengqi
    Zhao, Cong
    Zhu, Yifan
    Ji, Yuxiong
    IET INTELLIGENT TRANSPORT SYSTEMS, 2022, 16 (07) : 908 - 925
  • [44] Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
    Betz, Johannes
    Zheng, Hongrui
    Liniger, Alexander
    Rosolia, Ugo
    Karle, Phillip
    Behl, Madhur
    Krovi, Venkat
    Mangharam, Rahul
    IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 3 : 458 - 488
  • [45] Right turn assistance system at intersections by vehicle-infrastructure cooperation
    Nakanishi, Takeshi
    Yendo, Tomohiro
    Fujii, Toshiaki
    Tanimoto, Masayuki
    2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM, 2006, : 103 - +
  • [46] Safe, Efficient, and Comfortable Autonomous Driving Based on Cooperative Vehicle Infrastructure System
    Chen, Jing
    Zhao, Cong
    Jiang, Shengchuan
    Zhang, Xinyuan
    Li, Zhongxin
    Du, Yuchuan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (01)
  • [47] Trajectory Planning Algorithm Using Gauss Pseudo-Spectral Method Based on Vehicle-Infrastructure Cooperative System
    Yingxuan Zhu
    Kegang Zhao
    Haolin Li
    Yanwei Liu
    Quancheng Guo
    Zhengtao Liang
    International Journal of Automotive Technology, 2020, 21 : 889 - 901
  • [48] Vehicle-infrastructure cooperative control method of connected and signalized intersection in mixed traffic environment
    Wang R.-M.
    Zhang X.-R.
    Zhao X.-M.
    Wu X.
    Fan H.-J.
    Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2022, 22 (03): : 139 - 151
  • [49] Deadline-Aware Scheduling for Transmitted RSU Packets in Cooperative Vehicle-Infrastructure Systems
    Su, Beipo
    Ju, Yongfeng
    Dai, Liang
    APPLIED SCIENCES-BASEL, 2023, 13 (07):
  • [50] Trajectory Planning Algorithm Using Gauss Pseudo-Spectral Method Based on Vehicle-Infrastructure Cooperative System
    Zhu, Yingxuan
    Zhao, Kegang
    Li, Haolin
    Liu, Yanwei
    Guo, Quancheng
    Liang, Zhengtao
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2020, 21 (04) : 889 - 901