交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (6): 168-175.

• 系统工程理论与方法 • 上一篇    下一篇

快速路与邻接交叉口分散换道和速度引导方法

庞明宝*,安少怡   

  1. 河北工业大学土木与交通学院,天津 300401
  • 收稿日期:2019-06-19 修回日期:2019-08-19 出版日期:2019-12-25 发布日期:2019-12-25
  • 作者简介:庞明宝(1966-),男,河南西峡人,教授,博士.
  • 基金资助:

    河北省自然科学基金/Natural Science Foundation of Hebei Provence, China(E2015202266).

Decentralized Lane-changing and Speed Guidance Methods for Urban Expressway and its Adjacent Intersection

PANG Ming-bao, AN Shao-yi   

  1. School of Civil and Transportation, Hebei University of Technology, Tianjin 300401, China
  • Received:2019-06-19 Revised:2019-08-19 Online:2019-12-25 Published:2019-12-25

摘要:

研究车路协同城市快速路与邻接交叉口主线分散换道和速度引导自适应控制方法. 对高饱和度入口匝道与邻接交叉口,提出主线分散换道自适应控制方法,依据合流区上游不同车道密度制定换道规则,以主线流量最大化为目标确定邻接交叉口相位相序;对出口匝道存在超长排队,提出主线速度引导自适应控制方法,依据主线上游车辆目的地确定速度引导策略,以出口匝道需求与通行能力相匹配为目标确定出口匝道关联相位优先权. 采用元胞自动机模型仿真验证,结果表明,所提方法与非协调控制、传统协调控制、车路协同交叉口自适应控制相比,区域流量分别提高17.38%、5.52%、10.06%,总时间消耗分别下降35.86%、 26.21%、17.39%.

关键词: 智能交通, 协调控制, 运行规则, 城市快速路与邻接交叉口, 车路协同系统

Abstract:

The mainline decentralized lane- changing and speed- guiding adaptive control methods for urban expressway and its adjacent intersection with cooperative vehicle infrastructure system (CVIS) is studied. Under high saturation, a mainline decentralized lane- changing adaptive control method is proposed and used for the subsystem of on-ramp and its adjacent intersection, where the lane-changing rules are obtained according to the densities of different lanes in merging area and the phases and their sequence are obtained in order to maximize the mainline flow. A mainline speed guidance adaptive control method is proposed and used for the subsystem of offramp and its adjacent intersection under overfull queue situation, where the speed guidance strategy is obtained according to the destinations of vehicles upstream of mainline and the priority of the correlated phase of off-ramp is obtained in order to match the demand and capacity of the off- ramp. The effectiveness is validated through simulation experiments by using cellular automaton model (CAM). The results indicate that compared with noncoordinated control, traditionally coordinated control and adaptive control for intersection with CVIS, the flow of the area of the methods mentioned is increased by 17.38%, 5.52%, 10.06%, and the total time spend(TTS) is reduced by 35.86%, 26.21% and 17.39%, respectively.

Key words: intelligent transportation, coordinated control, operating rules, urban expressway and its adjacent intersection, cooperative vehicle infrastructure system (CVIS)

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