城市交通开放式信号控制方法研究

发布时间：2018-03-24 15:52

本文选题：信号控制　切入点：可变相序　出处：《西南交通大学》2015年硕士论文

【摘要】：近年来,随着我国城市化进程不断加快,私家车保有量大幅增加,现有的路网交通系统已经很难满足实际交通的需要,交通拥堵等一系列问题日益凸显。本文以单个交叉口为基本控制单位,综合考虑关联交叉口和路段交通情况的影响作用,建立开放式信号控制模型。城市交通系统具有复杂、时变等特性,传统的交叉口控制方法很难达到预期的控制效果,人们开始关注将智能控制技术运用到交通控制系统解决交通问题。由于模糊控制逻辑清晰且不需要建立精确的模型,对复杂、不确定的问题有很强的处理能力,因此将该理论用于对本模型的研究。本文采用可变相序的信号控制方式,设计三模块模糊控制器对交叉口的控制参数进行调整。第一模块相序优化器根据所研究的交叉口各红灯相位优先权以及红灯相位关联上游交叉口和上游路段的阻塞紧迫度计算获取各相位的通行需求度；第二模块绿灯延时模糊控制器根据该相位排队长度以及该相位和预备相位排队长度之差计算绿灯延长时间；第三模块修正控制器利用下游关联交叉口和路段数据融合得出修正加权系数对绿灯延时进行一定的修正,防止交通溢流。利用VBA语言对VISSIM进行二次开发,构建仿真平台对模型进行验证,将实时调查的交叉口高峰期数据输入VISSIM进行模拟仿真,通过比较本文设计的控制策略、定时控制、感应控制以及经典模糊控制的评价指标,验证了模型的有效性。同时,对进口道流量进行翻倍,确保模型对交通流的变化具有较好的适应性,进一步证明模型的控制效果。最后,随着时间的推移不断改变东西进口道流量探讨了本文设计的开放式信号控制模型面对不断变化的交通需求时控制的稳定性。
[Abstract]:In recent years, with the acceleration of urbanization and the increase of private car ownership, the existing road network traffic system has been difficult to meet the actual traffic needs. A series of problems, such as traffic congestion, are becoming more and more prominent. This paper takes a single intersection as the basic control unit, synthetically considers the influence of the traffic situation of the intersections and sections of the road, and establishes an open signal control model. The urban traffic system is complex. With time-varying characteristics, the traditional intersection control method is difficult to achieve the desired control effect. People begin to pay attention to applying intelligent control technology to traffic control system to solve traffic problems. Because fuzzy control logic is clear and precise model is not needed, it has strong ability to deal with complex and uncertain problems. Therefore, the theory is applied to the study of this model. A three-module fuzzy controller is designed to adjust the control parameters of intersection. The first module phase sequence optimizer is based on the red light phase priority and red light phase correlation upstream intersection and upstream section of resistance. The traffic demand degree of each phase is obtained by plug urgency calculation. The second module of the fuzzy controller calculates the green time extension according to the phase queue length and the difference between the phase and the queue length of the preparatory phase. In the third module, the correction controller uses the data fusion of the downstream intersections and sections to get the modified weighting coefficient to correct the green time delay to prevent traffic overflow. The second development of VISSIM is carried out by using VBA language. The simulation platform is built to verify the model, and the real-time survey data of intersection peak period is input into VISSIM to simulate and simulate. The evaluation indexes of control strategy, timing control, induction control and classical fuzzy control are compared in this paper by comparing the control strategy, timing control, induction control and classical fuzzy control. The validity of the model is verified. At the same time, the inlet flow rate is doubled to ensure that the model has better adaptability to the change of traffic flow, and further proves the control effect of the model. The stability of the open signal control model designed in this paper in the face of changing traffic demand is discussed.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54

【参考文献】