基于尾气排放和系统阻抗最优的城市路网信号配时优化研究

发布时间：2018-02-11 02:31

本文关键词： 交通信号控制机动车尾气排放路网信号控制双层规划模型粒子群算法惯性权重系数变异算子　出处：《江苏大学》2017年硕士论文　论文类型：学位论文

【摘要】：经济的快速发展和城市化进程的加快,机动车保有量随之迅速增加,现存的交通基础设施和管理手段,造成交叉口的交通运行情况愈加紧迫,城市路网的通行效率日益下降,同时机动车尾气排放在环境污染的承担比例逐渐增高,严重影响人们的交通环境和生活环境。如何均衡经济发展和交通运行环境、生活环境之间的矛盾,越来越多的学者开始对其进行研究。因此,同时考虑城市路网中的机动车尾气排放和系统总阻抗,建立以其为优化目标的交通信号控制优化具有重要的现实意义。本文在总结国内外城市交通信号控制发展的基础上,针对城市交通信号控制问题进行系统化的理论整理和分析,并对交通信号控制优化的建模工具和求解算法详细介绍。在此基础上,构建城市路网交通信号控制优化系统的框架,以城市路网机动车尾气排放和系统总阻抗为优化目标,建立一个多目标的城市路网交通信号控制双层规划模型,并设计模型的求解算法。以vissim仿真平台对实际路网进行仿真求解和模型初始值计算,利用MATLAB软件设计改进的粒子群算法程序求解模型,通过与初始值、仿真结果进行对比分析,证明模型和求解算法的优越性。本文的主要研究工作总结如下:1基于对城市交通信号控制、机动车尾气排放、双层规划模型及求解算法分析,运用双层规划的思想将交通信号控制和交通流分配相融合,设计城市道路交通信号控制优化系统。该系统由输入模块、信号优化模块、信号评估模块、输出模块组成,其中信号优化模块中的模型建立和求解算法是该系统的核心部分。2以城市路网中机动车的尾气排放和系统总阻抗最优建立上层问题的优化函数,并对其进行加权归一化处理;下层问题的构建采用用户最优的思想,最终构建一个考虑尾气排放和系统总阻抗的多目标双层规划模型。然后在传统粒子群算法的基础上,通过设计一种自适应变化的惯性权重系数函数和变异算子,避免求解过程过早的陷入局部收敛,并运用交互迭代思想求解构建的模型。3以常州市金坛中心老城区为研究对象,建立路网拓扑图,运用vissim仿真平台和MATLAB软件实现多目标双层模型的仿真运行和模型求解,对所得的优化结果进行分析,从机动车延误、尾气排放和系统总阻抗方面实现路网运行效率的分析,并通过调整上层问题的加权系数进行优化结果的灵敏度分析。
[Abstract]:With the rapid development of economy and the acceleration of urbanization, the number of motor vehicles increases rapidly, and the existing traffic infrastructure and management means make the traffic operation of intersection more urgent, and the efficiency of urban road network decreases day by day. At the same time, the proportion of vehicle exhaust emission in environmental pollution is gradually increasing, which seriously affects people's traffic environment and living environment. How to balance the economic development and the contradiction between traffic environment and living environment, More and more scholars are beginning to study it. Therefore, considering the vehicle exhaust emissions and the total impedance of the system in the urban road network at the same time, It is of great practical significance to establish the traffic signal control optimization with its optimization goal. On the basis of summing up the development of urban traffic signal control at home and abroad, this paper makes a systematic theoretical arrangement and analysis of the urban traffic signal control problem. The modeling tools and solving algorithms of traffic signal control optimization are introduced in detail. On this basis, the framework of the traffic signal control optimization system of urban road network is constructed, with the vehicle exhaust emission and the total impedance of the system as the optimization objectives. A multi-objective traffic signal control bilevel programming model of urban road network is established, and the algorithm of solving the model is designed. The actual road network is simulated and the initial value of the model is calculated by using vissim simulation platform. The improved particle swarm optimization (PSO) program is designed by using MATLAB software to solve the model. The model is compared with the initial value and the simulation results. The main research work of this paper is summarized as follows: 1 based on the analysis of urban traffic signal control, vehicle exhaust emission, bilevel programming model and solution algorithm. By combining traffic signal control with traffic flow distribution, a traffic signal control and optimization system for urban road is designed, which is composed of input module, signal optimization module, signal evaluation module and output module, which is composed of input module, signal optimization module, signal evaluation module and output module. The model building and solving algorithm in the signal optimization module is the core part of the system. 2. The optimization function of the upper layer problem is established by the optimization of the vehicle exhaust emission and the total impedance of the system in the urban road network, and the weighted normalization of the function is carried out. Finally, a multi-objective bilevel programming model considering exhaust emission and total impedance of the system is constructed. Then, based on the traditional particle swarm optimization algorithm, a multi-objective bilevel programming model is constructed. By designing an adaptive inertial weight coefficient function and mutation operator to avoid premature local convergence of the solution process, the model .3 is constructed by using the interactive iterative method, and the research object is the old district of Jintan center in Changzhou. The topology diagram of the road network is established, and the simulation operation and model solution of the multi-objective double-layer model are realized by using vissim simulation platform and MATLAB software. The optimized results are analyzed, and the vehicle delay is analyzed. The efficiency of road network operation is analyzed in terms of exhaust emission and total impedance of the system, and the sensitivity of the optimization result is analyzed by adjusting the weighting coefficient of the upper layer problem.
【学位授予单位】：江苏大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491.54

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