城市交通过饱和状态下干线信号的多目标仿真优化研究

发布时间：2018-06-02 01:42

本文选题：多目标优化 + 过饱和干线　；参考：《计算机科学》2017年10期

【摘要】：针对城市交通过饱和状态下的干线信号优化问题,分析了交通控制目标对车辆排队的影响,提出以绿信比、相序、相位差和周期为优化参数,以车辆平均时延、系统平均排队-车道长度比和系统通行能力为优化目标的交通信号仿真优化模型。构建了优化模型的实施框架,该框架采用自主构建的微观交通仿真环境来获取信号方案评价指标,改进多目标优化算法NSGAII中的重复个体问题,完成对干线各交叉口信号配时方案的同时优化。最后,利用采集的交通数据对由3个交叉口组成的干线进行实例验证,验证结果表明,在过饱和状态下,所提出的信号优化方法不仅可以有效控制车辆排队长度,均衡车辆分布,同时在系统通行能力、车均时延方面表现更佳。
[Abstract]:In this paper, the influence of traffic control targets on vehicle queuing is analyzed in view of the problem of trunk signal optimization under the condition of city crossing saturation. The green signal ratio, phase sequence, phase difference and period are the optimal parameters, and the average vehicle delay is taken as the optimization parameter. The traffic signal simulation optimization model with the average queue lane length ratio and the system traffic capacity as the optimization target. The implementation framework of the optimization model is constructed. The framework uses the self-built microscopic traffic simulation environment to obtain the signal scheme evaluation index, and improves the repetitive individual problem in the multi-objective optimization algorithm NSGAII. At the same time, the signal timing scheme of each intersection is optimized at the same time. Finally, the traffic data collected are used to validate the trunk line composed of three intersections. The results show that the proposed signal optimization method can not only effectively control the queue length of the vehicle in the supersaturated state. Balanced vehicle distribution, at the same time in the system capacity, vehicle average time delay performance is better.
【作者单位】：郑州大学信息工程学院;
【基金】：民航联合研究基金(U1433106)资助
【分类号】：TP391.9;U491.54

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