城市公交网络建模与交叉口优先控制关键技术研究

项目名称： 城市公交网络建模与交叉口优先控制关键技术研究

项目编号： No.61203165

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 自动化学科

项目作者： 孔祥杰

作者单位： 大连理工大学

项目金额： 25万元

中文摘要： 面向提高公交服务水平的交通建模、控制与优化是国内外信息领域和交通工程领域的研究热点和难点。本课题从公交规划和公交信号优先的角度研究城市公交网络建模与交叉口优先控制关键技术，主要包括：1.利用复杂网络对于大规模分布式耦合系统的普适建模方法，建立公交网络模型，分析现有公交站点设置和公交调度中存在的问题，进而提出面向公交信号优先的公交站点调整方法和公交调度方法；2.采用模糊理论、神经网络等智能控制技术优化控制参数，实现单路口公交优先，目标是减少公交延误，提高公交运行速度；3.基于多智能体技术，研究具有公交优先的路网交通智能协调优化算法，目标在于既满足公交优先的需求，又尽可能的降低公交优先信号对社会车辆的影响。项目研究成果将为公交规划和公交优先的理论与实践提供新的视角和方法，促进相关学科的交叉研究，同时也能通过缓解城市交通拥堵，减少汽车尾气排放和能源消耗促进环境保护，具有重要的理论意义和应用价值。

中文关键词： 公交优先；城市路网；智能控制；复杂网络；大数据

英文摘要： Research on traffic modeling, control and optimization oriented to improve the service level of public transportation is a popular topic in control domain and traffic engineering domain at home and abroad in recent years. In this project, modeling of urban public transportation network and key technology of intersection bus priority control is studied in point of traffic planning and bus priority, including: 1.The bus network model is established using universal modeling method of complex networks for large-scale distributed coupling systems, to analyze the problems in the set of existing bus stops and bus scheduling, and then present the bus station adjustment method and bus scheduling method for bus signal priority. 2. Intelligent control techniques, such as fuzzy theory, neural networks are used to optimize the control parameters to achieve bus priority of single intersection. The goal is to reduce bus delays and improve bus speed. 3. Based on multi-agent technology, intelligent coordination control algorithm of traffic network with bus priority is proposed. The target is not only to satisfy the needs of bus priority, but also, as far as possible, to reduce the impact of social vehicles. Research results will provide new perspectives and approaches for the theory and practice of the public transport planni

英文关键词： bus priority；urban traffic networks；intelligent control；complex networks；big data