山东科学

• 交通运输 •    

基于多控制模式的网联车辆信号交叉口通行策略研究

张会欣1a,唐少志1b,顾明1b,周文帅1a,刘斌2*   

  1. 1 河南中天高新智能科技股份有限公司 a.智慧研究院;b.运营管理部,河南 郑州 450001; 2 重庆大学 大数据与软件学院,重庆 401331
  • 收稿日期:2025-01-15 接受日期:2025-02-23 上线日期:2025-12-12
  • 通信作者: 刘斌 E-mail:sougoliu@163.com
  • 作者简介:张会欣(1978—),男,硕士,高级工程师,研究方向为交通信息化。E-mail: 15065671@qq.com
  • 基金资助:
    国家自然科学基金项目(62372072)

Intersection crossing strategy for connected and automated vehicles based on multiple control modes

ZHANG Huixin1a,TANG Shaozhi1b,GU Ming1b,ZHOU Wenshuai1a,LIU Bin2*   

  1. 1. a. Smart Research Institute; b. Operations Management Department, Henan Zhongtian High-Tech Smart Technology Co., Ltd., Henan 450001, China; 2. School of Big Data & Software Engineering, Chongqing University, Chongqing 401331, China
  • Received:2025-01-15 Accepted:2025-02-23 Online:2025-12-12
  • Contact: LIU Bin E-mail:sougoliu@163.com

摘要: 针对信号交叉口交通拥堵及车辆频繁启停导致的效率损失问题,提出一种基于多控制模式的交叉口通行策略。通过分析车辆与交通信号之间以及车辆彼此间的交互作用,依据交通流量、信号周期和车辆行为差异构建了六种控制模式,并根据实时交通状况动态调整交叉口通行策略。引入车辆急动度概念以降低加速度突变的影响,并据此建立直行轨迹模型;同时结合前车防碰撞约束条件,采用多项式方法构建变道轨迹模型,优化变道通行效率。通过对比四种控制策略的平均延误时间,结果表明,所提出的多模式控制策略在低、高流量条件下的延误时间较传统策略分别减少了18.93%和25.79%。此外,通过分析车辆在行驶过程中的位移、速度和加速度等参数曲线,在不同控制模式下,车辆的通行时间减少了2.60 s~23.52 s,验证了该策略在提高交叉口通行效率方面的有效性。

关键词: 智能交通, 智能网联车辆, 信号交叉口, 轨迹规划, 多控制模式

Abstract: To address the efficiency loss caused by traffic congestion and frequent vehicle stops at signalized intersections, in this study we propose an intersection passing strategy based on multiple control modes. The interactions between vehicles and traffic signals as well as vehicle-to-vehicle interactions are analyzed, and six control modes are developed based on variations in traffic flow, signal cycles, and vehicle behavior. The strategy is dynamically adjusted to real-time traffic conditions. To minimize the impact of abrupt acceleration changes, the concept of vehicle jerk is introduced, and a straight-line trajectory model is developed accordingly. In addition, considering the collision-avoidance constraints of preceding vehicles, a polynomial method is used to construct an optimized lane-changing trajectory model to enhance the lane-changing efficiency. A comparative analysis of four control strategies demonstrates that the proposed multi-mode control strategy reduces delay times by 18.93% and 25.79% under low- and high-traffic flow conditions, respectively, compared to traditional strategies. Furthermore, by analyzing the displacement, speed, and acceleration curves of vehicles during travel, vehicle passing time is reduced by 2.6 to 23.52 s under different control modes, confirming the effectiveness of the proposed strategy in improving intersection traffic efficiency.

Key words: intelligent transportation system, connected and automated vehicles, signalized intersection, trajectory planning, multiple control modes

中图分类号: 

  • U495

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