基于CTM的多种交通状态控制目标一致性分析

发布时间：2018-11-05 08:44

【摘要】：交叉口信号控制优化目标一般由实践经验或交通控制目的所确定,往往忽略了不同交通状态下优化目标之间相互矛盾和相互制约的关系,造成交通控制效果不理想。为解决上述问题,提出建立基于元胞传输模型的单个交叉口优化控制模型,给出了交叉口延误、通行能力、排队长度以及机动车尾气排放量四类性能指标的表示方法,进而利用粒子群算法对控制目标进行了优化求解,并在MATLAB环境下对上述四类控制指标之间的一致性进行了仿真分析。仿真结果表明:在轻度流量下,延误、通行能力和排队长度之间具有一致性,延误与排队长度之间的一致性相对较好,而中度和重度流量下,延误与尾气排放量之间有较好的一致性,排队长度与通行能力有较好的一致性。
[Abstract]:The optimal target of intersection signal control is usually determined by practical experience or traffic control purpose, which often ignores the relationship between the optimization objectives under different traffic conditions and restricts each other, which results in unsatisfactory traffic control effect. In order to solve the above problems, a single intersection optimal control model based on cellular transmission model is proposed, and the performance indexes of intersection delay, traffic capacity, queue length and vehicle exhaust emission are presented. Furthermore, the particle swarm optimization algorithm is used to optimize the control target, and the consistency of the above four control indexes is simulated and analyzed in MATLAB environment. The simulation results show that there is consistency between delay, traffic capacity and queue length under mild traffic, and the consistency between delay and queue length is relatively good, while in moderate and heavy traffic, the consistency between delay and queue length is relatively good. There is good consistency between delay and exhaust emission, and between queue length and capacity.
【作者单位】：北方工业大学城市道路智能控制技术北京市重点实验室;西门子(中国)有限公司;
【基金】：国家自然科学基金(61374191) “863”国家高技术研究发展计划项目(2012AA112401)
【分类号】：U491.54

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