中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (9): 92-97.doi: 10.16265/j.cnki.issn1003-3033.2017.09.016

• 安全工程技术科学 • 上一篇    下一篇

交叉口交通事故处置用车辆协同控制模型

罗霞1,2 教授, 何彪1, 高源1, 刘硕智1   

  1. 1 西南交通大学 交通运输与物流学院,四川 成都 610031
    2 综合交通运输智能化国家地方联合工程实验室,四川 成都 610031
  • 收稿日期:2017-05-09 修回日期:2017-07-18 出版日期:2017-09-20 发布日期:2020-11-16
  • 作者简介:罗 霞 (1962—),女,四川乐至人,博士,教授,博士生导师,主要从事智能交通、交通管理与控制方面的研究。E-mail:xia.luo@263.net。
  • 基金资助:
    四川省科技计划项目应用基础研究(重点)(2017JY0072)。

Cooperative vehicle control model for dealing with traffic accident at intersections

LUO Xia1,2, HE Biao1, GAO Yuan1, LIU Shuozhi1   

  1. 1 School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031, China
    2 Comprehensive Intelligent Transportation National & Local Joint Engineering Laboratory, Chengdu Sichuan 610031, China
  • Received:2017-05-09 Revised:2017-07-18 Online:2017-09-20 Published:2020-11-16

摘要: 为应急处置交叉口突发交通事故造成的拥堵情况,利用车联网的车车(V2V)通信技术,根据车联网车辆实时播报的位置、速度等信息,以交通总延误最小为目标设定车辆的通过次序及行车轨迹,构建车辆协同控制模型;为提高求解精度和效率,提出基于遍历树和滚动优化的模型求解算法;最后搭建仿真平台验证模型有效性。结果表明:所提出的控制模型和求解算法明显优于传统的信号控制方法,显著降低了事故车辆对交叉口运行的影响。

关键词: 车联网, 车车(V2V)通信, 车辆协同控制, 滚动优化, 交通事故处置

Abstract: To deal with the traffic congestion caused by traffic accident at the intersection, using connected-vehicle-based V2V communication technology, a cooperative vehicle control model was built based on location, speed and other information reported by connected vehicles. And the model can arrange vehicles' passing orders and moving trajectories on purpose of minimizing total traffic delay. Moreover, vehicles are allowed to utilize the reverse lane to bypass accident cars. An algorithm was worked out for solving the model based on both the decision tree algorithm and the rolling horizon optimization algorithm. Finally, a simulation platform was established to verify the validity of the model. Simulation results show that the model and the algorithm outperforms conventional traffic signal control methods, and can be used to significantly reduce the adverse impact caused by accident vehicles.

Key words: connected vehicle, vehicle to vehicle(V2V) communication, cooperative vehicle control, rolling optimization, traffic accident disposal

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