基于RFID检测的绿波控制方法研究

发布时间：2018-06-23 07:08

本文选题：定时信号控制 + RFID　；参考：《重庆交通大学》2015年硕士论文

【摘要】：随着交通拥堵问题的日益突出,如何有效地缓解交通拥堵、提高城市道路利用率已成为当前交通领域研究的重点。交叉口作为城市交通道路的交汇点,及其管理控制的不当是产生交通拥堵的根源,加之交通流的随机不确定性,传统的交叉口定时信号控制方式已不能取较好的效果。因此,基于实时检测的智能交通信号控制方式已成为有效缓解交通拥堵的重要途径之一。通过对传统交通检测技术的评述,对比分析RFID应用于交通检测的优势,本文以城市干线为研究对象,建立一种基于RFID实时检测的,信号控制策略(信号周期、绿信比、相位差)随交通状态改变而改变的随动绿波控制。首先,本文通过对干线系统中干线交通流、交叉口驶入、驶出交通流的特性分析,选取在干线交叉口上游、干线交叉口停车线附近以及支线交叉口附近三处布设RFID检测点,以实现对上述三股交通流量的检测与识别,并对检测得到数据建立数据库。通过对库中数据的调用,研究关键交通参数(交通流量、平均速度、交通密度与道路占有率)、交叉口到达流量、干线拥堵层度等关键交通信息的采集方法。其次,采用分层求解的思想建立基于RFID检测的绿波控制策略。具体内容是:先以检测计算得到的各交叉口进口道到达流量及干线相邻交叉口间路段的拥堵程度,在定时配时方法的基础上,研究干线的公共信号周期、各交叉口绿信比的确定方法;再以检测计算得到的平均车速,研究建立基于干线最小延误的相位差优化模型,实时协调干线相邻交叉口间的相位差。最后,建立干线系统实例,按前面研究设定的方法,求解干线公共周期与各交叉口绿信比。再选用粒子群算法,优化求解最小延误模型中的相位差,并在MATLAB上对干线延误某型进行仿真,然后对比分析固定配时与本文所设计的优化配时的延误情况,得出本文所建立基于RFID检测的绿波控制模型,对缓解干线拥堵是切实可行的。
[Abstract]:With the increasingly prominent problem of traffic congestion, how to effectively alleviate traffic congestion and improve the utilization rate of urban roads has become the focus of current traffic research. As the intersection of urban traffic roads, the improper management and control of intersection is the root cause of traffic congestion, coupled with the random uncertainty of traffic flow, the traditional intersection timing signal control method can not get better results. Therefore, intelligent traffic signal control based on real-time detection has become one of the important ways to alleviate traffic congestion. Based on the review of the traditional traffic detection technology and the comparative analysis of the advantages of RFID application in traffic detection, a real-time signal control strategy based on RFID (signal cycle, green to signal ratio) is established in this paper, which takes urban trunk line as the research object. Phase difference) a follow-up green wave control that changes with traffic conditions. First of all, through the analysis of the characteristics of the main line traffic flow, intersections in and out of the trunk line system, this paper selects three RFID detection points in the upper reaches of the main road intersection, near the parking line of the main road intersection and near the branch intersection. In order to realize the detection and identification of the above three traffic flow, and to establish the database of the detected data. The key traffic parameters (traffic flow, average speed, traffic density and road occupancy), the arrival flow at intersections and the traffic congestion layer of the trunk line are studied by using the data in the database. Secondly, the green wave control strategy based on RFID detection is established with the idea of hierarchical solution. The concrete contents are as follows: first, based on the detection calculation of the arrival flow of the intersections and the congestion degree between the adjacent intersections of the trunk line, the common signal cycle of the trunk line is studied on the basis of the timing method. Then the phase difference optimization model based on the minimum delay of the trunk line is established to coordinate the phase difference between the adjacent intersections of the trunk line in real time. Finally, an example of trunk line system is established to calculate the green letter ratio between the common cycle of trunk line and the intersection. Then the particle swarm optimization algorithm is used to solve the phase difference in the minimum delay model, and a certain type of trunk line delay is simulated on MATLAB, and then the delay between the fixed timing and the optimal timing designed in this paper is compared and analyzed. A green wave control model based on RFID detection is established in this paper, which is feasible to alleviate trunk congestion.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54

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