交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (1): 50-58.

所属专题: 车路协同与智能化技术

• 智能交通系统与信息技术 • 上一篇    下一篇

车联网环境下信号交叉口车速控制策略

鹿应荣,许晓彤,丁川*,鲁光泉   

  1. 北京航空航天大学 交通科学与工程学院车路协同与安全控制北京市重点实验室,北京 100191
  • 收稿日期:2017-06-20 修回日期:2017-09-11 出版日期:2018-02-25 发布日期:2018-02-26
  • 作者简介:鹿应荣(1965-),女,吉林长春人,教授.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(U1564212, U1664262).

A Speed Control Strategy at Signalized Intersection under Connected Vehicle Environment

LU Ying-rong, XU Xiao-tong, DING Chuan, LU Guang-quan   

  1. Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
  • Received:2017-06-20 Revised:2017-09-11 Online:2018-02-25 Published:2018-02-26

摘要:

为了减轻城市道路上信号交叉口对交通流的阻断,针对车联网环境下个体车辆可 以与路侧设施及交叉口中心控制系统实时信息交互的特征,提出了信号交叉口车速控制策 略,在提高交叉口通行效率的基础上兼顾驾驶舒适性与环境友好性.为验证车速控制模型的有 效性,基于多智能体技术建立了车联网环境下信号交叉口车速控制仿真系统,以典型十字交 叉口为例,模拟对比分析了传统驾驶和车联网2 种环境下车辆通过交叉口的行程时间、燃料消 耗与污染物排放.结果表明,该速度控制策略下车辆通过交叉口的平均行程时间减少了约 60%,燃料消耗减少了约40%,污染物的排放也有显著减少.

关键词: 智能交通, 车速控制, 多智能体, 信号交叉口, 车联网

Abstract:

In order to reduce the blocking of traffic flow of the signalized intersection on the urban road, for individual vehicles can interact the information with the roadside facilities and the intersection control system under the connected vehicle environment, a speed control strategy in the signalized intersection is proposed. This strategy considers driving comfort and environmental friendliness with the improvement of traffic efficiency. To verify the efficiency of the speed control model, the speed control simulation system embodying the characteristics of the connected vehicle environment in the signalized intersection is developed using the multi-agent technology, and a typical intersection is selected as an example, in which the travel time, fuel consumption and pollutant emissions under the traditional environment are compared with that of the connected vehicle environment when vehicles pass the intersection. The results show that when vehicles go through intersections, the average travel time is reduced by about 60% by the aid of the speed control strategy, with the fuel consumption reducing by about 40%. In addition, pollutant emissions are also reduced significantly.

Key words: intelligent transportation, speed control, multi-agent, signalized intersection, connected vehicle

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