汽车工程 ›› 2022, Vol. 44 ›› Issue (7): 953-959.doi: 10.19562/j.chinasae.qcgc.2022.07.001

所属专题: 智能网联汽车技术专题-规划&控制2022年

• •    下一篇

混合交通下非信控交叉口队列预约式控制

陈一鹤1,孔伟伟1,2,于杰1,2,李克强1,罗禹贡1()   

  1. 1.清华大学车辆与运载学院,汽车安全与节能国家重点实验室,北京  100084
    2.中国农业大学工学院,北京  100083
  • 收稿日期:2021-12-15 修回日期:2022-01-13 出版日期:2022-07-25 发布日期:2022-07-20
  • 通讯作者: 罗禹贡 E-mail:lyg@tsinghua.edu.cn
  • 基金资助:
    国家自然科学基金(51975310);汽车安全与节能国家重点实验室自主科研课题(ZZ2021-062)

Reservation-based Vehicle Platoon Control at Unsignalized Intersections Under Mixed Traffic Condition

Yihe Chen1,Weiwei Kong1,2,Jie Yu1,2,Keqiang Li1,Yugong Luo1()   

  1. 1.School of Vehicle and Mobility,Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing  100084
    2.Engineering College,China Agricultural University,Beijing  100083
  • Received:2021-12-15 Revised:2022-01-13 Online:2022-07-25 Published:2022-07-20
  • Contact: Yugong Luo E-mail:lyg@tsinghua.edu.cn

摘要:

目前针对非信控城市交叉路口场景进行智能网联汽车(ICV)协同控制的研究中,多假设100%的ICV市场渗透率条件,较少考虑人类驾驶车辆(HDV)对系统的影响。本文旨在解决HDV和ICV并存的混合交通条件下非信控交叉口协同控制问题,并探究渗透率对系统性能的影响。首先,提出了适用于混合交通条件的队列预约式分层控制架构,其上层分配各车辆通过路口的时刻,下层负责执行,并进行速度轨迹规划。接着,基于队列预约方法分别制定ICV和HDV的控制和调度策略。最后,在不同ICV渗透率和车流量下进行仿真对比。结果表明,在10%~100%渗透率和每车道车流量400~1 000 h-1的工况下,与感应式信号灯控制方法相比,所提出的方法可有效提升交叉口的通行效率,降低车辆平均油耗。

关键词: 非信控交叉口, 混合交通, 智能网联汽车, 市场渗透率, 预约式控制

Abstract:

The most current researches on the coordination control for intelligent and connected vehicle (ICV) at unsignalized urban intersections assume a 100% market penetration rate of ICV without consideration of the effects of human driven vehicle (HDV) on the system. This paper aims at resolving the coordinative control problem at unsignalized intersections under mixed traffic condition with HDVs and ICVs coexist, and exploring the effects of ICV penetration rate on system performance. Firstly, a reservation-based hierarchical platoon control framework is proposed, in which, the top layer assigns the intersection crossing moment for each vehicle and the bottom layer is in charge of execution and speed trajectory planning. Then the control and scheduling strategies of ICV and HDV are formulated respectively based on platoon reservation way. Finally, a comparative simulation is performed under different ICV penetration rates and traffic flows. The results show that under an ICV penetration rate of 10% to 100% and a traffic flow of 400 to 1 000 vehicles per hour, the proposed method can effectively enhance the traffic efficiency and reduce the average fuel consumption of vehicles, compared with actuated traffic light control strategy.

Key words: unsignalized intersection, mixed traffic, intelligent and connected vehicle, market penetration rate, reservation-based control