The Simulation Of Junctions Hierarchical Fuzzy Neural Control Algorithm About Urban Traffic Trunks

Urban transportation problems have become increasingly prominent with the economic development and the raising level of urbanization. It is urgent need to supervise the existing transport and traffic control effectively. Urban transportation trunks, as one important part of the urban road network, running smoothly or not directly affect the operation of the entire traffic network. So with this as the starting point of the paper, we studied on the urban traffic junction coordination control in order to ease the growing tension congestion and improve traffic efficiency.In summing up the results of the predecessors, on the basis of first we consider urban transportation route as a major system decomposition of the junction of route as a subsystem in using the Large Scale System Theory and Hierarchical Theory. Then simulate the system through fixed coordination control algorithms, hierarchical fuzzy control algorithms and hierarchical fuzzy neural control algorithms that adjusts traffic characteristics parameters in the hierarchical fuzzy control by artificial neural network. Thirdly, plan simulation procedures based on the database algorithms in VC and give the main procedures' steps, flow charts and source codes. Finally, compare the three algorithms by examples and have a conclusion that hierarchical fuzzy neural control algorithms is better than hierarchical fuzzy control algorithms and hierarchical fuzzy control algorithms is better than the fixed coordination control algorithms in the urban traffic junction coordination control.