【作者】 仇东华；

【导师】 陈锋；

【作者基本信息】 中国科学技术大学 ， 模式识别与智能系统， 2009， 硕士

【摘要】 交通拥堵与过饱和已成为制约城市化进程的重要因素之一。通过大规模的道路基础设施建设解决现有的交通问题是不现实的。采用先进的交通信号控制技术,进行优化信号配时,是提高现有路网的通行能力的有效途径。干线协调控制是智能交通的重要研究领域之一,本文针对干线协调控制研究的现状,在研究和开发城市交通信号控制系统的基础上,对交通信号控制中的干线协调控制技术进行了深入的研究,本文的主要工作包括:1.干线协调控制方案的设计深入研究了干线协调控制的理论与方法,以合肥市黄山路干线协调控制为研究背景,分析了控制方案存在的缺陷,在干线的交通流特性的调研和分析的基础上,综合了不同控制方式(单点定时控制,感应控制,绿波控制等)的特点,设计了一种基于分组的多时段干线绿波控制方案。2.基于粒子群算法的双向干线协调控制研究深入研究了不同情况下的干线延误模型,在此基础上,采用粒子群算法对双向干线协调控制的重要参数包括:周期、相位差和绿信比等进行协调和优化,该算法考虑具有冲突的弯道车辆的影响,有效地避免了传统绿波设计方法的不足。3.基于柔性控制的动态单向绿波控制研究传统的定时绿波控制无法适应交通流的变化,本文提出了一种基于柔性控制的单向绿波控制算法,该算法通过路段实时流量,结合流量-速度模型,可以根据实时交通流状况和驾驶员的情感特性对控制方案进行动态柔性调整。仿真实验证明,该算法在保证干线绿波的前提下,控制方案的变化能够适应驾驶员的心理和生理特性,体现“人性化”的特点,从而提高交通的安全性。更多还原

【Abstract】 Traffic jams and over-saturation has been one of the major factors of restricting the urbanization process. It is unpractical to solve the existing traffic problems by large-scale construction of road infrastructure. Using advanced traffic signal control techniques to optimize the signal timing is an effective way to improve the existing road network capacity. Arterial coordination control is one of the important research areas in intelligent traffic, aiming at the present research of arterial coordination; arterial coordination control technique is studied on the basis of the research and development of urban traffic signal control system. The main work of this dissertation includes:1. The design of arterial coordination control schemeThe theory and method of arterial coordination control are further studied. Taking as the research background the arterial coordination control of Huangshan Road, Hefei City, the drawbacks of present control scheme are analyzed, on the basis of traffic flow investigation and its characteristics analysis, a grouping multi-time arterial coordination control scheme is developed by integrating the characteristics of different control ways such as single point of timing control, sensor control and green wave control.2. Study of two-direction trunk coordination based on particle swarm optimizationThe arterial delay models in different situations are studied. Based on the delay model, particle swarm optimization algorithm is utilized to coordinate and optimize the important parameters including cycle, phase and split of the arterial coordination control. This algorithm considers the effects of conflict turning vehicles and effectively overcomes the disadvantage of traditional arterial coordination control..3. Research of one-way dynamic green wave flexible controlThe traditional timing green wave control can not fit dynamic traffic flows. A one-way green wave flexible control algorithm is proposed. According to real-time traffic flows and the flow-velocity model, the algorithm can take a dynamic flexible regulation for the control scheme in term of the real-time traffic flow and the emotional characteristics of drivers. The simulation experimental results show that the algorithm ensures the green wave effect and makes the changes of control scheme fit the psychological and physiological characteristics of drivers. It embodies the humanization characteristics and improves traffic safety.In final, the work of this dissertation is summarized, and the further study is indicated.更多还原