Abstract:In a mixed intersection composed of autonomous and manual vehicles, the traditional traffic strategy leads to slow traffic, long waiting time, and low efficiency. To solve the problem, in this paper, platoons of vehicles are formed based on the distance between vehicles. The platoons with autonomous and manual vehicles are controlled by different traffic strategies and priorities, which effectively prevents the traffic efficiency reduction of autonomous vehicles and ensures the fairness of traffic at intersections. Simulations show that with the increase of penetration rate, the proposed strategy is superior to the traditional strategies in terms of the average speed, the average waiting time, and the average fuel consumption.
吴易, 王庆芝. 基于编队和动态优先级的混合路口通行策略[J]. 复杂系统与复杂性科学, 2024, 21(1): 126-131.
WU Yi, WANG Qingzhi. A Traffic Strategy for Mixed Intersections Based on Platoon and Dynamic Priority[J]. Complex Systems and Complexity Science, 2024, 21(1): 126-131.
[1] SU Z, HUI Y, YANG Q. The next generation vehicular networks:a content-centric framework[J]. IEEE Wireless Communications, 2017, 24(1): 60-66. [2] 刘卓, 卢凯明, 何佳,等.面向人机混驾环境的交叉口车辆通行控制策略[J]. 北京工业大学学报, 2022, 48(6): 608-621. LIU Z, LU K M, HE J, et al. Control strategy for the mixed traffic flow of CAV and HV in intersection[J]. Journal of Beijing University of Technology, 2022, 48(6): 608-621. [3] YUAN Y M, JIANG R, HU M B, et al. Traffic flow characteristics in a mixed traffic system consisting of ACC vehicles and manual vehicles: a hybrid modelling approach[J].Physica A: Statistical Mechanics and Its Applications, 2009, 388(12): 2483-2491. [4] ZHAO W, NGODUY D, SHEPHERD S, et al. A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection[J]. Transportation Research Part C: Emerging Technologies, 2018, 95: 802-821. [5] FENG Y, HEAD K L,KHOSHMAGHAM S, et al. A real-time adaptive signal control in a connected vehicle environment[J]. Transportation Research Part C: Emerging Technologies, 2015, 55: 460-473. [6] 栗红强. 城市交通控制信号配时参数优化方法研究[D]. 长春: 吉林大学, 2004. LI H Q. Study on the optimization methods of signal timing parameters of urban traffic control[D]. Changchun: Jilin Univercity, 2004. [7] 陈超义. 混合交通环境下交叉路口信号灯—车辆协同控制方法[D]. 北京: 清华大学, 2019. CHEN C Y. Cooperativecontrol of traffic signal and connected vehicles at intersections in the mixed traffic environment[D]. Beijing: Tsinghua University, 2019. [8] BORHAN H, VAHIDI A, PHILLIPS A M, et al. MPC-based energy management of a power-split hybrid electric vehicle[J]. IEEE Transactions on Control Systems Technology, 2011, 20(3): 593-603. [9] CODECÁ L, FRANK R, FAYE S, et al. Luxembourg sumo traffic (lust) scenario: traffic demand evaluation[J]. IEEE Intelligent Transportation Systems Magazine, 2017, 9(2): 52-63. [10] GB 14886-2016, 道路交通信号灯设置与安装规范[S]. GB 14886-2016, Specifications for road traffic signal setting and installation[S]. [11] Olszewski P. Overall delay, stopped delay, and stops at signalized intersections[J]. Journal of Transportation Engineering, 1993, 119(6): 835-852. [12] 周键. 基于多传感器技术的实验室智能安全监测系统研究[J]. 智库时代,2021(41):118-120. ZHOU J. Research on laboratory intelligent safety monitoring system based on multi-sensor technology [J]. Think Tank Era, 2021(41):118-120.