城市主干道平面交叉口公交优先信号控制策略研究
发布时间：2018-10-13 15:42
【摘要】：随着我国经济进入快速发展期,城市居民对于出行的需求也随之增长。同时,城市汽车的保有量在短期内急剧增加,超过城市道路所能容纳的通行能力,导致城市道路负担过大,交通拥堵日益严重。在众多的城市公共交通方式中,公交车以其载客量大、价格便宜、涵盖面广、成本低廉等优点,被视为解决市民出行需求的重要方式,因而保证公交车在交叉口处的优先通行,减少公交车在交叉口处的延误时间是公交优先的首要目的,符合广大人民的利益,本文就公交车在交叉口的优先信号策略进行研究,主要研究内容如下:1、在充分借鉴国内外研究成果的基础上,首先对公交优先和公交优先信号进行了介绍和区分,细述公交优先信号的分类及其特点,对现有的公交优先信号控制方法进行研究。其次,对公交优先信号控制方法的适用环境提出了要求,通过研究现有的公交检测技术,并结合公交优先信号策略,采用了基于感应线圈检测技术的检测器对公交车辆进行检测。然后,对交叉口的车辆延误进行分析,作为评价信号控制方法优劣的判定依据。最后,通过对城市客流量的分析,将公交优先信号的控制在时间上划分为高峰时段控制和非高峰时段控制。2、分别对公交车在非高峰时段和高峰时段采用不同的优先信号控制方法进行了研究。在非高峰时段的公交优先信号采用优化感应控制的方法。当感应线圈检测器检测到公交车辆达到交叉口时,采用绿灯时间延长和压缩的方法对公交车辆进行优先控制,减少公交车在交叉口处的等待时间;在高峰时段的公交优先信号提出基于模糊逻辑的控制方法,将社会车辆和公交车辆在交叉口的排队长度对于信号的影响程度做不同的划分,使公交车排队长度对信号的影响大于社会车辆,以体现公交车辆在交叉口的优先,并将两者作为输入设计了相位需求强度模糊控制器,输出下一绿灯相位,对交叉口的信号相位进行动态控制,减少公交车辆在交叉口处的排队时间;3、使用交通仿真软件TransModeler和MATLAB对西安市小寨十字交叉口的非高峰时段和高峰时段信号控制策略进行仿真,仿真结果表明,本文所提出的控制方法相对于定时控制具有一定的优越性。
[Abstract]:With the rapid development of China's economy, urban residents' demand for travel has also increased. At the same time, the number of urban cars increases rapidly in the short term, which exceeds the capacity of urban roads, resulting in excessive burden on urban roads and increasingly serious traffic congestion. Among the many urban public transportation modes, the bus is regarded as an important way to meet the needs of citizens because of its large capacity, low price, wide coverage and low cost, thus ensuring the priority of bus traffic at intersections. Reducing the delay time of buses at intersections is the primary purpose of bus priority, which is in the interests of the masses of people. This paper studies the priority signal strategy of buses at intersections. The main research contents are as follows: 1. Based on the domestic and foreign research results, first of all, the bus priority and bus priority signal are introduced and distinguished, and the classification and characteristics of the bus priority signal are described in detail. The existing bus priority signal control methods are studied. Secondly, the application environment of bus priority signal control method is put forward. By studying the existing bus detection technology, and combining with the bus priority signal strategy, A detector based on induction coil detection technology is used to detect public transport vehicles. Then, the vehicle delay at the intersection is analyzed as the basis for evaluating the signal control method. Finally, through the analysis of the urban passenger flow, The control of bus priority signal is divided into peak time control and off-peak time control. 2. Different priority signal control methods are studied in off-peak and off-peak periods. The optimal induction control method is used for the bus priority signals during off-peak hours. When the inductive coil detector detects that the bus reaches the intersection, the method of extending and compressing the green time is adopted to control the bus first, so as to reduce the waiting time of the bus at the intersection. A fuzzy logic based control method is proposed for the bus priority signal in the rush hour. The influence degree of the queue length of the social vehicle and the bus vehicle at the intersection is divided differently. The influence of bus queue length on signal is greater than that of social vehicle, so as to reflect the priority of bus vehicle at intersection, the fuzzy controller of phase demand intensity is designed as input, and the next green phase is output. The signal phase of the intersection is dynamically controlled to reduce the queue time of the bus at the intersection. 3. Using the traffic simulation software TransModeler and MATLAB to simulate the signal control strategy in the off-peak and peak time of Xiaozhai intersection in Xi'an. Simulation results show that the proposed control method has some advantages over timing control.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54
本文编号：2269140
[Abstract]:With the rapid development of China's economy, urban residents' demand for travel has also increased. At the same time, the number of urban cars increases rapidly in the short term, which exceeds the capacity of urban roads, resulting in excessive burden on urban roads and increasingly serious traffic congestion. Among the many urban public transportation modes, the bus is regarded as an important way to meet the needs of citizens because of its large capacity, low price, wide coverage and low cost, thus ensuring the priority of bus traffic at intersections. Reducing the delay time of buses at intersections is the primary purpose of bus priority, which is in the interests of the masses of people. This paper studies the priority signal strategy of buses at intersections. The main research contents are as follows: 1. Based on the domestic and foreign research results, first of all, the bus priority and bus priority signal are introduced and distinguished, and the classification and characteristics of the bus priority signal are described in detail. The existing bus priority signal control methods are studied. Secondly, the application environment of bus priority signal control method is put forward. By studying the existing bus detection technology, and combining with the bus priority signal strategy, A detector based on induction coil detection technology is used to detect public transport vehicles. Then, the vehicle delay at the intersection is analyzed as the basis for evaluating the signal control method. Finally, through the analysis of the urban passenger flow, The control of bus priority signal is divided into peak time control and off-peak time control. 2. Different priority signal control methods are studied in off-peak and off-peak periods. The optimal induction control method is used for the bus priority signals during off-peak hours. When the inductive coil detector detects that the bus reaches the intersection, the method of extending and compressing the green time is adopted to control the bus first, so as to reduce the waiting time of the bus at the intersection. A fuzzy logic based control method is proposed for the bus priority signal in the rush hour. The influence degree of the queue length of the social vehicle and the bus vehicle at the intersection is divided differently. The influence of bus queue length on signal is greater than that of social vehicle, so as to reflect the priority of bus vehicle at intersection, the fuzzy controller of phase demand intensity is designed as input, and the next green phase is output. The signal phase of the intersection is dynamically controlled to reduce the queue time of the bus at the intersection. 3. Using the traffic simulation software TransModeler and MATLAB to simulate the signal control strategy in the off-peak and peak time of Xiaozhai intersection in Xi'an. Simulation results show that the proposed control method has some advantages over timing control.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54
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