【作者】 李雪梅；

【导师】 张存保；

【作者基本信息】 武汉理工大学 ， 交通运输工程， 2023， 硕士

【摘要】 随着机动车保有量持续增长,道路资源供给与交通需求之间的矛盾日益加剧。对于直行、左转交通需求差异较大且波动明显的交叉口,传统的静态交通组织已无法满足动态变化的交通需求,从而导致了交叉口转向不均衡,拥堵问题日益突出。可变导向车道作为一种灵活的交通控制手段,通过动态调整进口道的车道功能,可以提高交叉口的通行能力,从而有效缓解交通拥堵问题。但目前的可变导向车道控制方法多采用人工或历史交通流状况分时段的方式确定车道功能,难以适应实时动态的交通流情况。随着智能车路协同技术的迅速发展,能够实时获取交叉口的交通流信息,使得动态调整可变导向车道功能成为可能。本文提出基于车路协同环境下考虑可变导向车道的交叉口信号控制方法,研究如何利用实时交通流信息动态调整可变导向车道功能,以提高交叉口通行能力,缓解交通拥堵问题。本文的主要研究工作如下:(1)提出车路协同环境下可变导向车道交叉口信号控制框架。首先,设定在车路协同环境下考虑可变导向车道的交叉口信号控制方法的研究场景,阐述本文方法的核心思想以及优化框架;然后,从车道控制优化原则和判断指标入手,选取判断指标提出车路协同环境下合用式可变导向车道动态控制优化方法下的思路与流程;最后,对比现有研究中关于车速诱导的策略并分析其优缺点,选取车速主动诱导策略,提出交叉口车速诱导与信号配时协同优化的思路与流程。(2)提出车路协同环境下考虑可变导向车道的交叉口信号控制方法与模型。首先,提出本文研究方法的基本假设;然后,通过在车路协同环境下获得的实时交通流和车辆运行状态数据,利用动态Robertson车队离散模型对车辆到达进行预测,将预测结果作为输入,建立以车辆平均延误最小为目标的车道功能与信号协同优化模型;最后,为了充分利用交叉口的时空资源,对到达交叉口车速诱导区域的车辆建立以延误和停车次数综合最优为目标的车速诱导与信号配时协同优化的模型。(3)借助交通仿真软件,通过设计对比现状可变导向车道功能固定切换、车路协同环境下仅动态切换车道和车路协同环境下动态切换车道的基础上优化车速与信号配时3种方案下的运行效果以及敏感度分析,验证方法和模型的有效性。实验结果表明:与现状方案相比,车路协同环境下动态切换车道方案的交叉口车均延误减少9.2%～12.5%,平均排队长度减少9.8%～12.3%,车路协同环境下动态切换车道的基础上优化车速与信号配时方案的车均延误以及平均排队长度分别减少22.7%～36.6%、18.1%～20.6%。本文围绕交叉口转向交通流不均衡性问题以及可变导向车道交叉口时空利用率不足的问题,提出了在车路协同环境下考虑可变导向车道的交叉口信号控制方法,为今后在车路协同环境下实现对可变导向车道的交通管理提供了思路,后续可以进一步在干线层面上研究车道功能与干线交叉口信号协调控制优化方法。更多还原

【Abstract】 With the continuous growth of motor vehicle ownership,the contradiction between the supply of road resources and the demand for traffic has been intensifying.For intersections with significant differences in traffic demand between straightthrough and left-turn movements that fluctuate noticeably over time,traditional static traffic organization cannot meet the dynamic changes in traffic demand,leading to imbalanced turning movements and increasingly severe congestion problems.The variable approach lane,as a flexible traffic control measure,can improve intersection capacity by dynamically adjusting the lane function of the approach,effectively alleviating traffic congestion problems.However,the current control methods for variable approach lanes mostly rely on manual or historical traffic flow conditions to determine the lane function in time periods,which cannot adapt to real-time dynamic traffic flow conditions.With the rapid development of intelligent vehicle-road cooperative technology,it is possible to obtain real-time traffic flow information at intersections,making it possible to dynamically adjust the function of the variable approach lane.This paper proposes a signal control method for intersections considering variable approach lanes under the vehicle-road cooperative environment,studying how to use real-time traffic flow information to dynamically adjust the function of the variable approach lane to improve intersection capacity and alleviate traffic congestion problems.The main research work of this paper is as follows:(1)Propose a signal control framework for intersections considering variable approach lanes under the vehicle-road coordination environment.Firstly,set up the research scenario for the signal control method of intersections considering variable approach lanes under the vehicle-road coordination environment,and clarify the core ideas and optimization framework of the proposed method.Then,starting from the lane control optimization principles and judgment indicators,select judgment indicators and propose the ideas and processes of the co-use dynamic control optimization method of variable approach lanes under the vehicle-road coordination environment.Finally,compare the existing strategies regarding speed induction in research and analyze their advantages and disadvantages,select the speed proactive induction strategy,and propose the ideas and processes of the intersection speed induction and signal timing coordination optimization.(2)Propose a signal control method and model for intersections considering variable approach lanes under the vehicle-road coordination environment.Firstly,propose the basic assumptions of the research method.Then,using the real-time traffic flow and vehicle operating status data obtained under the vehicle-road coordination environment,predict vehicle arrival using a dynamic Robertson discrete model and establish a lane function and signal coordination optimization model with the objective of minimizing average vehicle delay.Finally,to make full use of the temporal and spatial resources of the intersection,establish a speed induction and signal timing coordination optimization model with the objective of minimizing delay and the number of stops for vehicles in the speed induction area at the intersection.(3)With the help of traffic simulation software,three schemes were optimized and compared based on the fixed switching of the variable directional lane function,the dynamic lane switching only in the vehicle-road coordinated environment,and the dynamic lane switching in the vehicle-road coordinated environment with optimized speed and signal timing.Sensitivity analysis was also conducted to verify the effectiveness of the method and model.Experimental results show that compared with the current scheme,the dynamic lane switching scheme in the vehicle-road coordinated environment can reduce intersection average delay by 9.2% to 12.5% and average queue length by 9.8% to 12.3%.Furthermore,the scheme of optimizing speed and signal timing based on dynamic lane switching in the vehicle-road coordinated environment can reduce average delay and average queue length by 22.7% to 36.6%and 18.1% to 20.6%,respectively.This paper proposes a signal control method for intersections considering variable approach lanes under the vehicle-road coordination environment to solve the problems of imbalanced traffic flow and insufficient spatiotemporal utilization of variable approach lanes at intersections.It provides a reference for the optimization of intersection traffic control under the vehicle-road coordination environment.更多还原