视频检测论文：基于视频的饱和交通状态下单路口信号控制方法.doc

视频检测论文：基于视频的饱和交通状态下单路口信号控制方法研究【中文摘要】伴随着经济和社会的发展,城市车辆迅速增加,城市交通需求快速增长,并时常呈现饱和状态,特别是上下班高峰期,交通拥挤和堵塞不可避免。这不但影响了人们的出行效率,增加了出行时间,也给城市带来经济损耗和环境污染等一系列问题。交叉口是城市道路的交汇处,也是最容易呈现饱和交通状态和发生交通拥挤的地方。如果能够及时发现路网中存在的交通拥挤(交通状态识别),并采用合适的信号控制方式对其进行有效的组织与协调,则有助于减少交通拥挤的持续时间,防止拥挤的进一步扩散。因此,对路口的饱和交通状态快速有效识别和信号控制方法进行深入研究十分必要。本文对上述两个问题进行了研究。(1)本文在前人研究路口饱和交通状态定义基础之上,然后通过对车辆驶过交叉口的排队进行分析,得出将检测饱和流率与检测车辆通过上下游路口的具体时刻相结合,将能够判别出路口是否有车辆经历了二次排队,即路口是否处于饱和交通状态。(2)本文提出了一个基于交通需求强度的分级模糊控制方法。该方法把所有相位分成红灯相位和绿灯相位两类。红灯相位的交通需求强度用发生交通死锁现象的紧迫度和交通繁忙度来表征,绿灯相位的交通需求强度用交通繁忙度来表征。然后经过综合比较把通行权分配给交通需求强度最大的相位。这样既能避免发生交通死锁又把通行权优先分配给那些最容易出现交通拥挤的相位以达到尽快地消散交通拥挤的。(3)最后,利用编写了仿真软件,并分别进行了相同流量条件下的定时控制和模糊控制两种控制方式的仿真。仿真结果表明,本文采用的模糊控制方法相对于定时控制能尽快消散交通拥挤,较好地适用于饱和交通状态下单路口的信号控制。【英文摘要】Along with the development of economy and society, the number of vehicles in city increases rapidly, which results in urban transport growing rapidly and often under the saturated traffic condition, especially in rush hour. So traffic congestion is inevitable. It not only reduces travel efficiency and adds travel time, but also brings a series of issues such as economic loss and environmental pollution. Intersection is the point of urban roads, where is also most likely to be under saturated traffic state and traffic congestion. If traffic congestion (traffic state recognition) in road network is able to be detected in time, organized and coordinated effectively by appropriate signal control, which will help to reduce traffic time of traffic congestion and prevent the crowded from further spreading. Therefore, it is necessary for the intersection traffic state recognition and signal control method to be in-depth researched. In this paper, the above two problems were studied.(1)On the base of definition of others, this paper draw a conclusion that detecting saturation flow combined with testing the moment of vehicles through the upstream and downstream junction will be able to detect whether there are the second line up of vehicles, that is, whether the intersection is in saturation(2)This paper proposed a hierarchical fuzzy control method based on traffic demand intensities. This method divided all phases into two types:red light phase and green light phase. The traffic demand intensities of the red light phase is characterized by the occurrence of traffic deadlock urgent and traffic busy degree, traffic demand intensities of the green phase is characterized by traffic busy degree. Then the right of priority is assigned to the phase whichs traffic demand intensities is largest. Which not only traffic deadlock is avoided, but also the right of priority is assigned to those phase most prone to traffic congestion.(3)Finally, simulations of timing control and fuzzy control two methods in the same flow state have been made respectively by software which was developed by . The simulation results show that fuzzy control method in this paper can dissipate traffic congestion as soon as possible relative to timing control and is more suitable for signal control of single intersection in the saturated traffic state.【关键词】视频检测 饱和交通状态判别 单路口信号控制 分级模糊控制【英文关键词】Video detection Identification of saturated condition Single intersection signal control Hierarchical fuzzy control【目录】基于视频的饱和交通状态下单路口信号控制方法研究摘要4-5Abstract51 绪论8-131.1 研究背景及意义8-91.2 国内外研究现状9-111.2.1 非饱和交通状态路口信号控制研究现状9-101.2.2 饱和交通状态路口信号控制研究现状10-111.3 目前存在的问题111.4 本文的研究内容11-132 城市单路口交通信号控制概述13-262.1 单路口信号控制概述13-162.1.1 交通信号控制的主要参数13-152.1.2 交通信号控制的性能指标15-162.2 单路口交通信号传统控制方法16-212.2.1 单路口的定时控制16-182.2.2 单路口的感应控制18-212.3 单路口的模糊控制方法21-242.3.1 模糊控制的基本理论21-222.3.2 交通信号模糊控制基本思想22-232.3.3 交通信号模糊控制器的设计23-242.4 单路口交通信号控制方法发展趋势24-263 基于视频综合检测的路口饱和交通状态判别研究26-363.1 引言26-273.2 路口饱和交通状态定义27-283.3 车辆排队分析28-323.4 视频检测车牌数据分析32-343.5 判别方法34-364 基于模糊逻辑的饱和交通状态下单路口信号控制36-464.1 引言36-374.2 传统模糊控制方法37-384.2.1