城市公交网络建模与交叉口优先控制关键技术研究

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 planning and bus priority,and promote the cross-over study of related disciplines and environmental protection through alleviating urban traffic congestion, reducing vehicle emissions and energy consumption, which are of important theoretical and applicable significance.

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。

项目背景：交通安全与拥堵问题已成为影响人民生活水平提高，构建和谐社会的一大障碍。问题的解决，一方面需要制定相关的政策法规，更重要的是需要科学规划、政策实施与日常管理监督监控相结合。因此，《国家中长期科学和技术发展规划纲要》中将“智能交通管理系统”列为重点领域及其优先主题，也符合国家在《中华人民共和国国民经济和社会发展第十二个五年规划纲要》中确定的“加强公共安全体系建设”的总体需求。.研究内容：首先，针对我国城市的交通流特点，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；其次，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；最后，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。.重要结果：系统地完成基于复杂网络的公交网络模型研究，提供研究城市公交站点设置调整与公交调度优化的理论依据；提出单交叉口公交优先算法和具有公交优先的路网协调控制算法，并开发相应的软件包；对交通大数据展开相关研究，并在交通拥塞估计与预测，出租车运营策略等，交通可视化等方面取得一系列成果。.科学意义：项目研究成果将为交通控制和智慧城市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来促进环境保护，具有重要的理论意义和应用价值。