基于遗传算法的干线交叉口协调控制研究

发布时间：2018-03-26 10:11

本文选题：干线信号协调控制　切入点：双向绿波　出处：《合肥工业大学》2015年硕士论文

【摘要】：在快速城市化和机动车快速发展的背景下,交通问题已经成为我国城市的主要问题之一。作为智能交通系统的重要组成部分,干线交叉口协调控制对于提高路网的通行能力、缓解城市交通压力具有重要意义。论文以干线交叉口为主要研究对象,对干线信号协调控制进行了研究,并对基于相位差优化的干信号协调控制的实现方法进行了重点研究。论文在研究干线交通信号控制基本理论的基础上,同时结合最大绿波带法以及最小延误法,分析了现有的城市干线交通信号协调控制方式及其特点,建立了常态交通条件下城市干线交通信号协调控制模型,对常态交通条件下干线交通流通过各交叉口的车辆延误做了详细的介绍和分析。使用遗传算法对双向绿波控制模型中的控制变量相位差进行优化,在VC++6.0编程环境下对其进行10个周期的仿真实验,给出了优化后相位差的值和优化后的延误时间。以蚌埠市东海大道干线交叉口为例,建立了干线交叉口协调控制优化模型,求解得到优化后的相位差和干线总延误,将所得结果与定时控制的结果进行比较分析。实验结果表明相位差优化后的干线总延误均小于定时控制的干线总延误,对干线上交叉口支路方向的延误影响也较小。证明了本文所建模型的有效性,并且很好的利用了遗传算法运算速度快、收敛快的特性,充分满足了相位差优化的实时性要求。
[Abstract]:In the rapid development of city and the vehicle under the background, the traffic problem has become one of the main problems in our city. As an important part of the intelligent transportation system, the intersection of route coordination control to improve the network capacity, ease the traffic pressure in the city has important significance. This paper is the main research object to the intersection of route. The trunk road coordinate control is studied, and the method of implementation of signal coordination control of dry phase difference based on optimization are studied. Based on the basic theory in the study of arterial traffic signal, at the same time combined with the maximum green wave band method and minimum delay method, analyzed the control mode and characteristics of city trunk road traffic signal coordination the control model is established for the coordination of city traffic under the condition of normal arterial traffic signal, on the condition of normal traffic trunk traffic flows Vehicle delay of the intersection is introduced and analyzed in detail. The bidirectional green wave control variable in the model of phase difference is optimized using the genetic algorithm, the simulation experiment was carried out 10 cycles of the VC++6.0 programming environment, the time delay difference is given after the optimization phase and after optimization in Bengbu city. The East Avenue intersection of route as an example, a route intersection coordination control optimization model, obtained the optimized phase difference and arterial delay, the results and the timing control results were compared and analyzed. The experimental results show that the phase difference of the optimized route is less than the total delay time control arterial delay, delay effect on line intersection branch direction is smaller. Prove the validity of the models, and good use of the genetic algorithm is fast, fast convergence, fully meet the The real time requirement of phase difference optimization is required.

【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54

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