Application Of Intelligent Computing Methods In Urban Traffic And Study Of Traffic Flow Modeling

Focusing on urban traffic, the paper includes two parts of research contents. The first is application research of intelligent computing on urban traffic, which deals with the control of urban traffic flow and the forecasting model of urban short-term traffic flow; The second is the research of traffic flow modeling, which deals with the traffic modeling based on gas -kinetic.Traffic flow has characteristic of randomicity, dispersion and stronger nonlinearity. Thanks to modern artificial intelligence technology such as fuzzy control, neural network, etc, now we can deal with traffic system via concluding and parallelly processing without expressing its exact model. At the same time , as a result of computer science, especially the development of computer simulation, the difficulty of complex maths derivation is overcame, makes it is possible to establish credible traffic flow model with traditional maths and physics methods.Referring to correlative literatures widely, two aspects of work above mentioned is carried out in the paper, which accords with current research direction of traffic flow theory and is the hotspot and the difficult spot in the field. The main contents and innovation points include:1, Aiming at urban arterial roads typical intersection, an intersection traffic signal controller based on fuzzy logic is presented. The design thought of this controller is based on error closed-loop control theory, the concept of error variety rate being introduced here. Then the artificial intelligence activities of the traffic police is reflected more factually. The presented control strategy has very strong robustness and anti-time-variety, can effectively improve the using rate of roads around the intersection.2, The fuzzy logic controller of urban intersection based on error close-loop control is carried out by the method of artificial neural networks. A Fuzzy Neural Network (FNN) controller is designed and researched in the paper, bringing the learning and calculating function into fuzzy system, as well as embedding the thinking and reasoning method of fuzzy system into neural network. The simulated annealing...