Optimized path planning and scheduling strategies for connected and automated vehicles at single-lane roundabouts

被引:0
|
作者
Wang, Lifeng [1 ,2 ]
Liang, Hu [3 ,4 ]
Jian, Yuxin [1 ]
Luo, Qiang [1 ]
Gong, Xiaoxiang [1 ]
Zhang, Yiwei [1 ]
机构
[1] Chongqing Three Gorges Univ, Coll Mech Engn, Chongqing, Peoples R China
[2] Sichuan Univ Arts & Sci, Key Labs Sensing & Applicat Intelligent Optoelect, Sichuan, Peoples R China
[3] Chongqing Three Gorges Univ, Chongqing Engn Res Ctr Adv Intelligent Mfg Technol, Chongqing, Peoples R China
[4] Chongqing Three Gorges Univ, Chongqing Engn Technol Res Ctr Light Alloy & Proc, Chongqing, Peoples R China
来源
PLOS ONE | 2024年 / 19卷 / 08期
关键词
AUTONOMOUS VEHICLES;
D O I
10.1371/journal.pone.0309732
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
This paper focuses on the cooperative driving challenges of connected and automated vehicles (CAVs) at single-lane roundabouts. First, a geometric path planning method is proposed for CAVs navigating a single-lane roundabout. Based on this method, a vehicle roundabout model is established. Four potential traffic scenarios for CAVs are established, and the optimal arrival times at conflict points are analyzed. By correlating the optimal arrival times at conflict points with the optimal entry times into the roundabout, the multi-vehicle coordination problem in complex intersections is simplified to a speed control issue during entry. Utilizing the principles of optimal control and Pontryagin minimization, two speed optimization strategies are proposed. Finally, MATLAB is employed for simulation analysis. The results indicate that the control strategy proposed in this paper enables the system to clearly identify potential conflicts between vehicles and implement an optimal control strategy, ensuring that vehicles can navigate the roundabout efficiently in terms of time and fuel without collisions. Additionally, the minimum time interval is established at 0.2 seconds to completely prevent vehicle collisions. In this study, the fusion problem involving two vehicles at a single conflict point is further expanded to encompass multiple vehicles at multiple conflict points. Thus, the efficient scheduling of multiple vehicles in single-lane roundabouts is realized.
引用
收藏
页数:20
相关论文
共 42 条
  • [31] A Cyber-Physical Framework for Optimal Coordination of Connected and Automated Vehicles on Multi-Lane Freeways
    Sakaguchi, Yuta
    Bakibillah, A. S. M.
    Kamal, Md Abdus Samad
    Yamada, Kou
    SENSORS, 2023, 23 (02)
  • [32] Coordinated decisions of discretionary lane change between connected and automated vehicles on freeways: a game theory-based lane change strategy
    Zheng, Yuan
    Ding, Wanting
    Ran, Bin
    Qu, Xu
    Zhang, Yu
    IET INTELLIGENT TRANSPORT SYSTEMS, 2020, 14 (13) : 1864 - 1870
  • [33] Multi-Lane Unsignalized Intersection Cooperation Strategy Considering Platoons Formation in a Mixed Connected Automated Vehicles and Connected Human-Driven Vehicles Environment
    Wu, Ruiyi
    Jia, Hongfei
    Huang, Qiuyang
    Tian, Jingjing
    Gao, Heyao
    Wang, Guanfeng
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (02) : 1569 - 1585
  • [34] Robust Gain-scheduling Control of Dynamic Lateral Obstacle Avoidance for Connected and Automated Vehicles
    Nie, Zhigen
    Li, Zhongliang
    Wang, Wanqiong
    Lian, Yufeng
    Outbib, Rachid
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2023, 24 (01) : 63 - 78
  • [35] Cooperative Decision Making of Connected Automated Vehicles at Multi-Lane Merging Zone: A Coalitional Game Approach
    Hang, Peng
    Lv, Chen
    Huang, Chao
    Xing, Yang
    Hu, Zhongxu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (04) : 3829 - 3841
  • [36] Analysis of mixed traffic flow with different lane management strategy for connected automated vehicles: A fundamental diagram method
    Wang, Yi
    Xu, Zeqi
    Yao, Zhihong
    Jiang, Yangsheng
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 254
  • [37] Collision Avoidance Path Planning for Automated Vehicles Using Prediction Information and Artificial Potential Field
    Ahn, Sumin
    Oh, Taeyoung
    Yoo, Jinwoo
    SENSORS, 2024, 24 (22)
  • [38] How Does a Digital Twin Network Work Well for Connected and Automated Vehicles: Joint Perception, Planning, and Control
    Kang, Ya
    Song, Qingyang
    Song, Jing
    Pan, Fengsheng
    Guo, Lei Guo
    Jamalipour, Abbas
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2023, 18 (04): : 45 - 55
  • [39] Adaptive Speed Planning of Connected and Automated Vehicles Using Multi-Light Trained Deep Reinforcement Learning
    Liu, Bo
    Sun, Chao
    Wang, Bo
    Sun, Fengchun
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (04) : 3533 - 3546
  • [40] An Integrated Approach to Optimal Merging Sequence Generation and Trajectory Planning of Connected Automated Vehicles for Freeway On-Ramp Merging Sections
    Chen, Jieming
    Zhou, Yue
    Chung, Edward
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (02) : 1897 - 1912