The Theoretical Concept and Method System of Traffic Congestion Control of Urban Road Network with Intelligent Transportation Systems

As the intelligent transportation system constructions at home are increasingly perfect, the originally open network system of urban road traffic is gradually changed into a virtual closed controlled network, in which the traffic processes and states can be detected, measured, and controlled. But the traditional open system idea based theories about the balance between supply and demand of urban traffic system, as well as the corresponding congestion control theories and methods, are difficult to match effectively with current field applications. How to identify urban traffic network equilibrium principle under the condition of intelligent transportation systems and set up the corresponding theory and method of congestion control becomes the crucial issues for modern urban traffic management and smart city construction. This paper summarizes the development states of intelligent traffic management and control system in Chinese cities, put forwards the theoretical concept for traffic congestion control of urban road network with intelligent transportation systems, which establishes a virtual closed spatio-temporal system by the “data perimeter or boundary” expressed as the discrete detection points of traffic flow-in-and-out data in the range of controlled urban road network, implements pinning control mixed with active control in combination with macroscopic fundamental diagram (MFD) theory and the perimeter and boundary flow control methods, based on the regional traffic controllability. And the technical route and method system to realize this theoretical concept is further designed.