Rule-Based Cooperative Lane Change Control to Avoid a Sudden Obstacle in a Multi-Lane Road

被引:2
|
作者
Asano, Shinka [1 ]
Ishihara, Susumu [1 ]
机构
[1] Shizuoka Univ, Hamamatsu, Shizuoka 4328011, Japan
来源
2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING) | 2022年
关键词
Obstacle avoidance; Cooperative control; Lane-change; V2V communication; Rule-based control;
D O I
10.1109/VTC2022-Spring54318.2022.9860558
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
When an unexpected obstacle occupies some of the lanes on a multi-lane highway, connected vehicles (CVs) have an advantage in avoiding this obstacle cooperatively. For example, a CV that detects the obstacle first can notify the following vehicles of the obstacle using vehicle-to-vehicle (V2V) communication. In turn, the following vehicles can take action to avoid the obstacle smoothly. Ishihara et al. proposed a strategy in which vehicles that receive a message notifying them of an obstacle gradually adjust their time headway to double it if they are approaching the obstacle. Thus, vehicles in the closed lane can change lanes smoothly and safely. The usefulness of this strategy was confirmed in a simulation of a two-lane road using the traffic flow simulator SUMO. In this paper, we extend this strategy to adapt three or more lanes. In the extended scheme, each vehicle approaching the obstacle selects a lane to which it changes according to the location of the obstacle and the vehicle density in each lane obtained through V2V communication, thereby improving traffic fairness among all lanes without deteriorating ride comfort. We conducted simulations with three-lane road scenarios. The simulation results show that the proposed scheme can achieve sufficiently high traffic throughput without degrading the comfort/safety and the fairness among lanes. Videos of the simulation results are available at: https://www.youtube.com/watch?v=0sDAJOZF38I.
引用
收藏
页数:7
相关论文
共 29 条
  • [1] Safe, Smooth, and Fair Rule-Based Cooperative Lane Change Control for Sudden Obstacle Avoidance on a Multi-Lane Road
    Asano, Shinka
    Ishihara, Susumu
    APPLIED SCIENCES-BASEL, 2022, 12 (17):
  • [2] Cooperative Lane-Change Motion Planning for Connected and Automated Vehicle Platoons in Multi-Lane Scenarios
    Duan, Xuting
    Sun, Chen
    Tian, Daxin
    Zhou, Jianshan
    Cao, Dongpu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (07) : 7073 - 7091
  • [3] Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints
    Wang, Junjie
    Zhang, Qichao
    Zhao, Dongbin
    Chen, Yaran
    2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2019,
  • [4] Lane change algorithm using rule-based control method based on look-ahead concept for the scenario when emergency vehicle approaching
    Wenjing Cao
    Hanqing Zhao
    Artificial Life and Robotics, 2022, 27 : 818 - 827
  • [5] Lane change algorithm using rule-based control method based on look-ahead concept for the scenario when emergency vehicle approaching
    Cao, Wenjing
    Zhao, Hanqing
    ARTIFICIAL LIFE AND ROBOTICS, 2022, 27 (04) : 818 - 827
  • [6] Optimal Lane Change Control of Intelligent Vehicle Based on MPC
    Zhong, Yihe
    Guo, Lulu
    Zhang, Yuxiang
    Liu, Qifang
    Chen, Hong
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 1468 - 1473
  • [7] Efficient motion planning and control for automated lane change considering road adhesion coefficient
    Ding, Haitao
    Song, Ziyu
    Zhang, Jianwei
    Xu, Nan
    Gao, Shaoshuai
    Zhao, Chunlai
    INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2024, 95 (3-4) : 320 - 347
  • [8] Fault Detection Based on Parity Equations in Multiple Lane Road Car-Following Models Using Bayesian Lane Change Estimation
    Pop, Madalin-Dorin
    Prostean, Octavian
    Prostean, Gabriela
    JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2020, 9 (04)
  • [9] Lane-change Control for Intelligent Vehicles Based on Optimal Preview
    Qiu S.
    Qian L.
    Lu J.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2019, 30 (23): : 2778 - 2783
  • [10] Model Predictive Control-based Lane Change Control System for An Autonomous Vehicle
    Huang, Chao
    Naghdy, Fazel
    Du, Haiping
    PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 3349 - 3354