系统仿真学报 ›› 2019, Vol. 31 ›› Issue (9): 1875-1882.doi: 10.16182/j.issn1004731x.joss.17-0337

• 仿真应用工程 • 上一篇    下一篇

基于间隙理论的智能车交叉口运行控制方法

柴琳果1, 蔡伯根1,2,3, 上官伟1,2,3, 王剑1,2,3, 陈俊杰1   

  1. 1. 北京交通大学 电子信息工程学院,北京 100044;
    2. 北京交通大学 轨道交通控制与安全国家重点实验室,北京 100044;
    3. 北京交通大学 北京市轨道交通电磁兼容与卫星导航工程技术研究中心,北京 100044
  • 收稿日期:2017-07-14 修回日期:2017-10-21 发布日期:2019-12-12
  • 作者简介:柴琳果(1988-),男,湖北荆门,博士,讲师,研究方向为智能车运行控制方法。
  • 基金资助:
    国家重点研发计划(2016YFB1200100),国家自然科学基金(61490705),国家自然科学基金面上项目(61773049),北京市自然科学基金(4172049),北京交通大学研究生创新基金(2016YJS035)

Operation Control Method for Connected and Autonomous Vehicles at Intersection

Chai Linguo1, Cai Baigen1,2,3, Shangguan Wei1,2,3, Wang Jian1,2,3, Chen Junjie1   

  1. 1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;
    2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;
    3. Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2017-07-14 Revised:2017-10-21 Published:2019-12-12

摘要: 提出了基于间隙理论的智能车在交叉口控制方法,连接交叉口的道路被分为两个区域状态计算区和状态调整区,当车辆进入状态计算区域时,路侧设备通过LOOSE(Location optimization on sequence evaluation)算法计算无碰撞时车辆需要达到的目标状态,然后通过COMPACTCooperative optimization method for previous allocation comparatively transforming算法降低每条车道的排队长度,并结合车辆运动学模型给出车辆在状态调整区的运行策略。仿真结果表明,本文方法能够有效提高交叉口通行量,并且对均衡交通流具有更优的控制效率;较传统信号控制能够有效降低车辆平均延误。

关键词: 智能交通, 交叉口控制, 间隙穿行, 车辆避碰

Abstract: A novel approach for coordinating connected and autonomous vehicles at intersection is proposed in this paper. The road connecting the specific intersection is divided into two areas: status calculation area and status adjustment area. When the vehicle enters the status calculation area, LOOSE algorithm which is implemented in the infrastructure would be triggered to calculate the target status of the vehicle for it to avoid collision in the intersection. The results of LOOSE would be optimized by COMPACT algorithm with the objective of minimum queue length. And then operational suggestions for the vehicle to move in the adjustment area would be generated based on vehicle kinematic models. Simulation results show that the method is able to improve the capacity of the intersection, especially for balanced traffic flow. And the method performs better than traditional signal control method in reducing the average vehicle delay.

Key words: intelligent transportation, intersection control, slot-based crossing, collision avoidance

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