基于CTM的多种交通状态控制目标一致性分析  

Consistency Analysis of Control Objectives under Various Traffic State Based on CTM

作　　者：刘小明[1] 殷学侠 殷之雄 

机构地区：[1]北方工业大学城市道路智能控制技术北京市重点实验室,北京100144 [2]西门子(中国)有限公司,北京100102

出　　处：《计算机仿真》2015年第1期192-196,235,共6页Computer Simulation

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)

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。A variety of indicators are used to evaluate effect of traffic control, and consistency analysis between objectives under different traffic state plays an important role in determining control objective. First, optimized control model for single intersection based on CTM is proposed, vehicle delay, traffic capacity, queuing length and vehicle exhaust emission are taken as performance indexes, and their representing methods are derived, then control objective is optimized by using Particle Swarm Optimization algorithm. Simulation result shows that vehicle delay, traffic capacity and queuing length have consistency and there is a better consistency between vehicle delay and queuing length under mild traffic flow condition, and under moderate and heavy traffic flow conditions, consistency is existing between vehicle delay and vehicle exhaust emission, queuing length and traffic capacity have consistency.

关 键 词：元胞传输模型 延误 通行能力 排队长度 尾气排放量 一致性 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]