中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2022, Vol. 41 ›› Issue (01): 44-52.DOI: 10.3969/j.issn.1674-0696.2022.01.07

• 交通+大数据人工智能 • 上一篇    

车路协同下基于间隙理论的交叉口智能控制策略

潘福全,张游,张丽霞,杨金顺,杨晓霞   

  1. (青岛理工大学 机械与汽车工程学院,山东 青岛 266520)
  • 收稿日期:2020-11-10 修回日期:2021-04-15 发布日期:2022-01-20
  • 作者简介:潘福全(1976—),男,山东潍坊人,教授,博士,主要从事交通控制、安全及公共交通方面的研究。E-mail:fuquanpan@yeah.net 通信作者:张游(1998—),男,河南新乡人,硕士研究生,主要从事交通控制、安全及公共交通方面的研究。E-mail:17854293681@163.com
  • 基金资助:
    国家自然科学基金项目(51505244);教育部人文社科研究规划基金项目(18YJAZH067);山东省重点研发计划项目(2018GGX105009);山东省自然科学基金项目(ZR2020MG021)

Intelligent Control Strategy of Intersection Based on Gap Theory under Vehicle-Infrastructure Cooperative Environment

PAN Fuquan, ZHANG You, ZHANG Lixia, YANG Jinshun, YANG Xiaoxia   

  1. (School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, Shandong, China)
  • Received:2020-11-10 Revised:2021-04-15 Published:2022-01-20

摘要: 为实现车路协同环境下智能化交通通行管控,提高道路交叉口通行效率,基于间隙理论提出了一种交叉口智能控制策略;针对交叉口不同类型冲突点建立了冲突区域范围计算模型;开发了车辆行车间隙控制与车辆状态调整数学模型;运用Vissim和MATLAB联合仿真对模型合理性与有效性进行了验证。结果表明:所建模型能实现交叉口智能控制,使相冲突的车辆交替穿插通过冲突点,实现安全地不停车通过交叉口;相较于传统信号控制,该智能控制策略能够使车辆通过交叉口的行程时间和延误时间显著降低,有效降低车辆污染物排放与油耗。

关键词: 交通工程;车路协同;间隙控制;交叉口;冲突点;交替穿插;智能控制策略

Abstract: In order to realize the intelligent traffic control and improve the efficiency of road intersection under vehicle-infrastructure cooperative environment, an intelligent control strategy of intersection based on gap theory was proposed. The conflict area range calculation model for different types of conflict points at intersections was established, and the mathematical models of vehicle clearance control and vehicle state adjustment were developed. The rationality and effectiveness of the proposed model were verified by joint simulation of VISSIM and MATLAB. The results show that the proposed model can realize intelligent control of the intersection, make the conflicting vehicles pass through the conflict points alternately, and realize the safe passing through the intersection without stopping. Compared with the traditional signal control, the proposed intelligent control strategy can significantly reduce the travel time and delay time of vehicles passing through the intersection, and effectively reduce the vehicle pollutant emission and fuel consumption.

Key words: traffic engineering; vehicle-infrastructure cooperation; gap control; intersection; conflict point; alternately intersperse; intelligent control strategy

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