车路协同环境下基于动态车速的相位差优化模型

发布时间：2018-06-08 08:29

本文选题：交通控制 + 动态速度　；参考：《控制理论与应用》2014年04期

【摘要】：针对基于固定路段行驶车速的相位差优化模型在优化双向滤波时存在的不足,本文基于车路协同环境下车辆信号控制系统双向、实时通信的运行环境,研究并建立了车辆动态速度与交叉口相位差的整合优化模型.首先,基于对上游交叉口流出的两类交通流,即饱和交通流和非饱和交通流运行特征分析,建立了速度与相位差相互影响关系模型,在此基础上,分别针对两种不同的交通流,以干道实时流量与速度乘积最大为目标,考虑初始排队清空时间,可变速度范围,和相位差取值空间等约束条件,建立了车辆速度与相位差的动态优化模型,从而实现干道交通流不停车通过量最大且延误最小的目的.最后,对比分析了本文模型与经典Maxband绿波优化模型及Synchro软件的信号协调控制优化方案,结果表明,相比其他两种典型优化方法,本文模型能显著提高双向绿波带宽并大幅减少停车次数,提高协调控制的效益.
[Abstract]:In view of the deficiency of the phase difference optimization model based on the driving speed of fixed section in optimizing bidirectional filtering, this paper is based on the bidirectional and real-time communication environment of vehicle signal control system under the environment of vehicle-road coordination. The integrated optimization model of vehicle dynamic velocity and intersection phase difference is studied and established. Firstly, based on the analysis of the operating characteristics of two kinds of traffic flow, namely saturated traffic flow and unsaturated traffic flow, a model of the interaction between velocity and phase difference is established. The dynamic optimization model of vehicle speed and phase difference is established by taking the maximum product of real time flow and velocity as the target, considering the constraints of initial queue emptying time, variable speed range and phase difference value space. In order to achieve the main road traffic flow without stopping the maximum and the minimum delay. Finally, compared with the classical Maxband green wave optimization model and the Synchro software signal coordination control optimization scheme, the results show that compared with the other two typical optimization methods, The model in this paper can significantly increase the bi-directional green wave bandwidth and greatly reduce the parking times, and improve the efficiency of coordinated control.
【作者单位】：长沙理工大学交通运输工程学院;同济大学道路与交通工程教育部重点实验室;
【基金】：国家自然科学基金资助项目(51178345) 国家“863”计划资助项目(2011AA110404)
【分类号】：U491.54

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