基于元胞自动机的城市交通仿真系统设计.doc

毕业论文 设计（论文）题目 基于元胞自动机的城市交通仿真系统设计 学院名称 交通运输工程学院 专 业 （班 级） 交通运输（11级2班） 姓 名 （学 号） 指 导 教 师 系（教研室）负责人 2015 年 6 月 6 日 中文摘要 1 英文摘要 2 1 引言 4 1.1 研究背景和意义 4 1.2 交通仿真软件的研究概况 7 1.3 元胞自动机 8 2 道路交通流中的元胞自动机模型 11 2.1 道路交通流理论研究的意义 11 2.2 NaSch模型 11 2.3 BML模型 14 2.4 NaSch和BML的耦合模型 17 3 交通流参数 18 3.1 交通流量q 18 3.2 平均速度 18 4 模型的建立和仿真结果分析 19 4.1程序编写的基本思路和流程图 19 4.2 路段建模 19 4.3交叉口建模 20 4.4程序流程图 22 4.5元胞自动机模型参数 22 4.6车辆速度与交通流参数之间的关系 24 结论 33 致谢 34 参考文献 34 基于元胞自动机的城市交通仿真系统设计 关键词：元胞自动机，信号灯周期，车辆平均速度,车辆密度 Abstract: Transport is foundation for country economic development. Well-developed transport system can reduce wasting time during transport, and accelerate the delivery of resource efficiency, protect travelers to feel comfortable and fast. Countries or cities pay more and more attention to the development of transport .Although most countries pay much more on transport systems, the effect is not obvious. We cannot solve traffic problems fundamentally by increasing the roads. So we need to simulate the urban road network model by Cellular Automata, and learn more about the road network, then solve the traffic problem fundamentally. We should set up a small urban road network, through simulation of cellular automata; analyze the average speed of the vehicle under the different traffic densities and different cycle of lights. Finally we found that urban transport system can be controlled by changing the signal controlling strategy and the vehicle density. The planners of urban road network can get the correct data of the cycle of lights and the vehicle density. Then they can control the urban traffic systems effectively, ensure the travel efficiency of people,accelerate the development of cities. Keywords: cellular automate, cycle lights, average speed of vehicle, vehicle density 引 言 1