Main contents:

In the development of big cities, the problem of traffic congestion needs to be solved urgently.The traditional adjustment method of green information ratio of single intersection in congested road section takes less consideration of the macro characteristics and overall coordination and control of urban road network.The macroscopic basic map MFD reflects the macroscopic characteristics of urban road network traffic flow density and distribution.Based on the macro basic map (MFD) attributes of the road network, the intelligent division of the road network is carried out. On this basis, the queue length of local nodes can be reduced by controlling the traffic flow of key nodes on the boundary between regions, and the congestion situation of the whole region can be effectively alleviated by "affecting the whole body with one action".It includes a variety of road network intelligent fusion partition method, the intelligent selection method of key nodes, the application of intelligent switching control method on nodes with high regional boundary significance, and the planning and design of layered coordinated control scheme between micro key intersections.The validity of the algorithm is verified by the real-time data of traffic flow in part of urban road network in Beijing.

Related projects:

• Research on the hybrid control method of urban road network macro region division and boundary traffic flow (basic research fund of central universities, 2016JBM009)

• Prediction and control of complex urban traffic system in big data environment (" key point "of national natural science foundation of China,61433002)

• Green travel theme directory (Beijing jiaotong university, W10L00430)

• A new method of train operation system modeling and control system design based on iterative learning (state key laboratory, RCS2009ZT011)

• Overall planning of intelligent transportation information system system (horizontal, W09M00020)

• Research on fuzzy self-correction control method of train autonomous driving system (national natural science foundation of China, "general", 60870013)

• Research on the emergency response linkage system of public transport on the Olympic ground (" science and technology support ", ministry of science and technology, 2006bag01a01-2-2)

• The theory and realization of non-strict repetitive learning control for expressway traffic flow (ph. d. foundation, 20060004002)

• Containment and control of complex networks (central university basic research fund, 2006XM077)