城市干道绿波带配时方法研究
发布时间：2018-08-28 08:13
【摘要】：近年来,城市交通拥挤,政府及相关部门采取多种方式进行控制管理,其中交通信号控制是缓解交通压力的重要手段。绿波带是城市干道协调控制最常用的方法,能够使过往车辆尽可能顺利通过干道平面交叉口,减少停车次数及时间延误,提高道路的通行能力。绿波带技术的核心是信号配时。由于城市道路交通环境复杂,传统数解法很难平衡多种因素,使控制方案达到最优,因此本文依据城市干道协调控制基本理论,提出了一种基于粒子群算法的配时方法。首先通过对连续平面交叉口实际交通流的分析,建立干道双向绿波模型。对该模型进行分析,分别给出排队长度、平均延误和停车率的表达公式,并建立多目标模型。然后给出基于粒子群优化算法(PSO)的多目标模型求解的主要流程。在传统方法的基础上,为使系统配时方案效果更好,文章给出了一种包含公共绿波带宽和附加带宽的综合绿波带宽概念。设计了综合绿波带宽的目标函数,使控制系统在设计周期及带速一定时的绿波带宽最大。给出了带宽的获取方法,并描述了对配时方案进行优化的过程。本文以金柯桥大道为实例,基于Vissim软件建立路网模型。对传统数解法、多目标优化法以及进一步带宽优化后的方案分别进行仿真。结果表明:多目标优化法的配时方案明显优于传统数解法,而进一步优化后的配时方案控制效果更优。
[Abstract]:In recent years, urban traffic congestion, the government and related departments take a variety of ways to control management, among which traffic signal control is an important means to alleviate traffic pressure. Green wave zone is the most commonly used method for coordinated control of urban trunk roads. It can make the passing vehicles pass through the crossroads as smoothly as possible, reduce the number of stops and time delays, and improve the capacity of roads. The core of green band technology is signal timing. Due to the complexity of urban road traffic environment, it is difficult to balance many factors by traditional numerical method, so the control scheme is optimal. Therefore, based on the basic theory of coordinated control of urban trunk roads, a time matching method based on particle swarm optimization (PSO) is proposed in this paper. Based on the analysis of the actual traffic flow at the continuous intersection, a bidirectional green wave model of the trunk road is established. Based on the analysis of the model, the expressions of queue length, average delay and parking rate are given, and a multi-objective model is established. Then, the main flow of multi-objective model solving based on particle swarm optimization (PSO) is given. On the basis of the traditional method, in order to make the timing scheme better, this paper presents a concept of integrated green wave bandwidth including common green wave bandwidth and additional bandwidth. The objective function of synthesizing green wave bandwidth is designed to maximize the green wave bandwidth when the design period and band speed of the control system are constant. The method of obtaining bandwidth is given, and the optimization process of timing scheme is described. Taking Jinkeqiao Avenue as an example, this paper establishes a road network model based on Vissim software. The traditional numerical method, the multi-objective optimization method and the further bandwidth optimization scheme are simulated respectively. The results show that the timing scheme of the multi-objective optimization method is obviously superior to the traditional numerical method, and the control effect of the further optimization scheme is better.
【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：2208810
[Abstract]:In recent years, urban traffic congestion, the government and related departments take a variety of ways to control management, among which traffic signal control is an important means to alleviate traffic pressure. Green wave zone is the most commonly used method for coordinated control of urban trunk roads. It can make the passing vehicles pass through the crossroads as smoothly as possible, reduce the number of stops and time delays, and improve the capacity of roads. The core of green band technology is signal timing. Due to the complexity of urban road traffic environment, it is difficult to balance many factors by traditional numerical method, so the control scheme is optimal. Therefore, based on the basic theory of coordinated control of urban trunk roads, a time matching method based on particle swarm optimization (PSO) is proposed in this paper. Based on the analysis of the actual traffic flow at the continuous intersection, a bidirectional green wave model of the trunk road is established. Based on the analysis of the model, the expressions of queue length, average delay and parking rate are given, and a multi-objective model is established. Then, the main flow of multi-objective model solving based on particle swarm optimization (PSO) is given. On the basis of the traditional method, in order to make the timing scheme better, this paper presents a concept of integrated green wave bandwidth including common green wave bandwidth and additional bandwidth. The objective function of synthesizing green wave bandwidth is designed to maximize the green wave bandwidth when the design period and band speed of the control system are constant. The method of obtaining bandwidth is given, and the optimization process of timing scheme is described. Taking Jinkeqiao Avenue as an example, this paper establishes a road network model based on Vissim software. The traditional numerical method, the multi-objective optimization method and the further bandwidth optimization scheme are simulated respectively. The results show that the timing scheme of the multi-objective optimization method is obviously superior to the traditional numerical method, and the control effect of the further optimization scheme is better.
【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
【参考文献】
相关期刊论文 前2条
1 张蕾;宋晓磊;田建坤;;城市主干道的交通流疏导与绿波带控制[J];天津城市建设学院学报;2007年04期
2 孙剑;刘好德;李克平;;城市干道交通信号协调控制仿真优化[J];同济大学学报(自然科学版);2009年11期
，本文编号：2208810
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