智能交通系统中车辆最优行驶路线规划设计

发布时间：2018-06-06 06:12

本文选题：车辆 + 最优路线　；参考：《浙江工业大学》2015年硕士论文

【摘要】：随着越来越多的车辆进入大众生活中,交通堵塞现象也越来越严重。本研究以智能交通网络为基础,对车辆行驶的最优路径规划方案进行研究。研究内容主要包括：(1)基于交通路径限制的智能交通路网模型、存储路网模型的数据结构设计和道路路径的分层存储。(2)基于GlS开发了最优智能交通车辆路径规划仿真平台。基于该仿真平台,从实际与理论层面对Dijkstra算法、A*算法进行研究。(3)建立了车辆最优行驶路径的静态规划研究。(4)创建了车辆行驶期间动态路径规划数学模型,并设计了协调车辆和自主车辆动态路径规划的算法,同时对算法进行了实验。仿真结果表明：在一定范围内,拥挤道路数与用户出行代价具有可调节性,能够以改变智能交通最优与用户最优权重方式,使用户最优动态路径规划得以满足。
[Abstract]:With more and more vehicles entering mass life, traffic jam is becoming more and more serious. Based on Intelligent Transportation Network (its), this paper studies the optimal path planning scheme of vehicle. The research contents include: (1) Intelligent Transportation Network Model based on traffic path restriction, data structure design of storage road network model and hierarchical storage of road path. (2) the optimal simulation platform of intelligent transportation vehicle path planning based on GlS is developed. Based on the simulation platform, the static planning of the optimal vehicle path is established from the practical and theoretical aspects of the Dijkstra algorithm. (3) A mathematical model of the dynamic path planning for the vehicle during driving is established. At the same time, the algorithm of coordinating vehicle and autonomous vehicle dynamic path planning is designed, and the algorithm is experimented at the same time. The simulation results show that, in a certain range, the number of congested roads and the travel cost of users are adjustable, and the optimal dynamic path planning of users can be satisfied by changing the optimal weight of intelligent traffic and users.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495

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