【作者】 李元元；

【导师】 巨永锋；

【作者基本信息】 长安大学 ， 交通信息工程及控制， 2007， 硕士

【摘要】 目前城市交通供求矛盾日益突出,公共交通以其不可替代的优势成为城市交通的首选方式。公交优先是新的城市交通战略核心与基础,是智能交通系统中先进的公共交通系统的一个重要组成部分,也是缓解城市交通问题的有效途径之一。论文首先对公交优先的发展现状做出了总体的分析和预测,然后从多个方面对公交优先控制策略进行分析,并对公交信号优先系统的各个组成部分进行了探讨。论文针对当前公共交通控制系统中存在的问题,提出了基于模糊控制的公交优先信号控制系统;针对信号交叉口交通流运行的高度复杂性和随机性,采用了模糊控制技术,不需要建立精确的数学模型,能够适应信号交叉口的实时控制。论文设计了一种具备相序优化功能的公交优先模糊控制系统,引入相序优化模块,运用模糊控制器和相序优化器联合对信号交叉口实现动态智能信号控制,前者用来决定改变当前绿灯相位的时刻,后者从相序中根据优先权的大小决定下一个放行相位;并利用MATLAB中的fuzzy logic工具箱分别设计了绿灯延时模糊控制模块和相序优化模块;最后利用MATLAB建立了具备相序优化功能的公交优先模糊推理系统(FIS),并对定时控制和公交优先智能信号控制进行了仿真比较,结果表明:公交优先信号控制方式能有效地减少乘客在信号交叉口的平均等待时间,实现公交车辆在时间通行权上的优先,能有效地减少所有车辆在信号交叉口的平均车辆延误。更多还原

【Abstract】 The contravention of urban transportation between supply and demand becoming more and more conspicuous and serious in recent years, public traffic becomes the first choice of urban transportation because of its irreplaceable advantage. Bus priority is the basis and core of the new strategic planning of urban transportation, and it’s an important component of the advanced pubic traffic system in the intelligent transportation system, and also it’s one of the effective ways of alleviating the urban traffic problem.This paper analyzes and forecasts the present situation of research on bus signal priority at intersections at first, and the bus priority strategy is analyzed in several aspects, and then each components of the bus priority system is discussed.In allusion to the problems in the public traffic control system, this paper presents the bus priority signal control system based on fuzzy control. To the high complexity and randomicity of the traffic flow, fuzzy control technology is adopted to adapt the real-time control, without setting up an accurate math model.The bus priority fuzzy control system based on optimization of phase sequence is designed in the paper. The phase-sequence optimizing module is introduced. The phase sequencer operates intelligently and dynamically in conjunction to the fuzzy logic controller for traffic systems. While the fuzzy logic controller decides the desirability of a change of phase, the phase sequencer decides the next phase among the possible ones. The fuzzy logic controller and the phase sequencer are designed by making use of fuzzy logic toolbox of MATLAB. Finally, bus priority fuzzy inference system based on the phase sequencer is established by MATLAB, and then the time control and the bus priority control are compared by simulation. The simulation result shows that this method can lower passengers’ average waiting time, and achieve the bus priority of the time right-of-way at the intersection, and reduce vehicle average delay effectively.更多还原