城市快速路车流可变限速模型与控制策略研究

项目名称： 城市快速路车流可变限速模型与控制策略研究

项目编号： No.71471104

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 管理科学

项目作者： 李树彬

作者单位： 山东警察学院

项目金额： 62万元

中文摘要： 城市快速路是城市交通系统运行是否畅通的关键一环，但随着交通拥堵的日益加剧，以大流量、高速度、深影响、强辐射为显著特点的城市快速路系统也面临着极大的挑战，其运行状况以及与城市地面交通的协调直接影响着整个城市交通系统的运行质量。本项目围绕城市快速路系统，结合其衍生的交通问题及特征，采用道路交通流理论和网络交通流理论相结合的方法，研究缓解城市区域交通拥堵的快速路可变限速控制策略。通过改进路段传输模型和经典的中观交通流仿真模型，构建更加符合我国城市交通实际的新的网络交通流传播模型，并利用在线交通仿真技术实现路网上的交通需求加载。基于以上认识提出缓解区域交通拥堵的可变限速优化控制模型并设计相应的求解算法。本项目的研究有助于交通理论和交通实践的有效结合，利于多学科的交叉和发展，可以为交管部门提供重要的理论依据。

中文关键词： 快速路；控制策略；在线仿真；中观交通流

英文摘要： Whether the urban transport system is running well or not, the city expressway is a key factor, but with the growing of traffic congestion, the urban expressway with the significant features of the large flow, high-speed, deep impact, intense radiation has faced on great challenges, the system running health and coordination with the city ground transportation affect the quality of the operation of the entire urban traffic system directly. The project around urban expressway system combined with its derivative traffic problems and features, the method of combining the road traffic flow theory and network traffic flow theory is used to research the variable speed limit control strategies for relieve the traffic congestion of the region network. The new urban network traffic flow propagation model is proposed by improving the link transmission model and the classic mesoscopic traffic flow simulation model, so as to the new model have according to our country's actual situation, and the traffic demand loaded comes true by the technology of online traffic simulation on road network.And then the variable speed limit optimal control model is put forward to ease region traffic congestion and the appropriate solution algorithm is designed also. The project can help to combination of transport theory and transport practice, and can effective the development of multidisciplinary, also can provide important theory for the traffic control department.

英文关键词： expressway;control strategy;online simulation;mesoscopic traffic flow