城市过饱和路网及关联区域分布式协同控制方法研究

Oversaturated urban traffic control research is one of the difficulties and hotspots. Reviewing past research, It is difficult for passive control methods to alleviate traffic congestion effectively. In this project, the oversaturated intersections group optimal control method is followed with interest, by studing the active control methods and combining with passive control methods, the control strategy will be able to not only ease traffic congestion but also prevent traffic congestion. Then with this idea, at first,the methods for the intersection oversaturated traffic state identification and how to devide oversaturated regions and their relevant sub-area will be studied, appling these results, the oversaturated region boundary intersections traffic flow equation of state is studied with two fluid model and store-and-forward model, and considering the relationship with oversaturated regional and considering own traffic control needs, the traffic signal coordination control model for relevant sub-areas is put up, on the basis of these work, learning from the idea of multidisciplinary design optimization, the distributed collaborative control method for oversaturated regions and their relevant sub-area is studied, then with expanded control parameters of traffic flow in the oversaturated region，the game model of the intersections in the oversaturated region is built up. At last, appling software in the loop simulation, the effectiveness of the control methods will be tested.The project research results in this project will provide theoretical foundation and technical support for city network traffic jam control.

城市过饱和交通控制是目前智能交通领域研究的热点和难点之一。传统的过饱和区域被动控制方法，其控制优化改进空间已非常有限，难以有效缓解拥堵。课题面向城市路网过饱和交通优化控制，深入研究过饱和交通主动控制方法，并将其与被动控制有机结合，以实现缓解拥堵的同时避免拥堵扩散或转移。基于这一思想，首先对过饱和交通状态辨识、过饱和区域划分等基础工作展开研究；继而应用二流理论及Store-and-forward模型，构建过饱和区域边界路口交通流状态方程；同时，考虑与过饱和区域关联关系及自身控制需求，建立外围关联子区交通信号协调控制模型；在此基础上，借鉴多学科设计优化思想，设计过饱和区域与外围关联区域的区域层分布式协同控制方法；并在对过饱和区域内部交通优化区间、控制参数有效扩展的基础上，构建过饱和区域内部交叉口间的博弈模型；最终，应用软件在环仿真，验证控制方法的有效性。

城市过饱和交通控制是目前智能交通领域研究的热点和难点之一。传统的过饱和区域被动控制方法，其控制优化改进空间已非常有限，难以有效缓解拥堵。课题面向城市路网过饱和交通优化控制，深入研究过饱和交通主动控制方法，并将其与被动控制有机结合，以实现缓解拥堵的同时避免拥堵扩散或转移。针对复杂路网交通条件下，道路行程时间预测精度和效率低、交通状态判别准确性和预知性差、过饱和路网交通建模和求解困难以及过饱和路网及其关联区域的交通供需不平衡等问题，分别在平行系统行程时间预测、交通状态判别模型、过饱和路网控制优化模型和求解以及过饱和路网关联区域协同控制等方面进行了探索研究，主要工作和创新性研究成果如下：.(1)针对交通流随机波动下的道路行程时间预测精度低、有效性差等问题，建立了基于计算实验的城市道路行程时间预测模型。.(2)针对复杂交通状态下的状态判别准确性不高和难以可靠预测等问题，建立了基于行程时间预测的交通状态判别模型。.(3)针对过饱和交通控制建模复杂、策略被动和求解困难等问题，建立了基于MFD的城市区域过饱和交通控制优化模型，提出了一种基于自适应动态规划的模型求解方法。.(4)针对过饱和路网及其关联区域的交通供需关系失衡等问题，提出了基于灰色关联分析-谱聚类的过饱和路网关联区域划分方法，建立了基于多学科优化的过饱和路网与关联区域分布式协同控制模型。.(5)为验证所提算法的有效性和可靠性，开发了城市路网交通控制平台。.项目在研期间共发表论文16篇，其中SCI检索3篇（包括IEEE会刊1篇），EI期刊5篇，核心期刊3篇，EI会议3篇，其他刊物2篇；共申请发明专利10项，其中授权5项。获软件著作权1 项。