Research On Coordinated Control Method In Urban Signalized Artery

With the rapid development of Chinese economy, and due to the urbanization and motorization, the urban traffic congest program has become one of the most important problems that restrict the development of city and the improvement of citizen life. One of the most effective methods of solving the urban traffic congestion is the advanced traffic management system, and traffic signal control is the kernel of traffic management system. Based on this, this paper focuses on the urban traffic arteries, analyzes several control methods of conditional arterial signal control in detail, and mainly researches the new intelligent adaptive traffic signal control method.First, we introduces the current situation of the traffic signal coordination control of the urban arteries, analyzes several current arterial control systems, and introduces the basic concepts, performance indexes and the typical classification of traffic signal control.Secondly, we deeply analyzes the arterial fix-timing control method and arterial actuated control method, and realizes the fix-timing signal control methods based on Webster theory and two arterial actuated control methods. Then, uses Robertson's formula and Kalman fitering principle to estimate the platoon length of the waiting vehicles, and based on this, uses the multilevel hierarchical control structure to present a real-time arterial coordination controlling method based on Neural Networks.At last, we carry out simulation on the VISSIM which is a micro traffic simulation plat, and compares all the signal control methods presented above. The simulation result indicates that the arterial control methods based on Neural Networks can reduce the vehicle delay by 10-30 percent, and make some improvement to the stopping times and other parameters compared with the other several control methods.