The Research Of Intelligence Control System Of Area Traffic

The question of city traffic is a bottleneck which confines the development of the city's economic, so the research of intelligence control system of area traffic has a very important significance. At present, the research is staying on studying a single crossing; it is not agree with the practice situation, so every crossings of area traffic is interconnection but not independent.To solve this problem, this paper uses fuzzy control strategy for single-crossing and the region at the crossroads of the four adjacent to put up simulation research; Base on the fuzzy control model of the establishment single crossing ,application fuzzy control technology and neural network control technology are conjoint the double control strategy, in every single intersection, using the fuzzy control technology to build the layers of fuzzy control to reduce the single-vehicle intersection delay, in the region, using neural network technology to establish coordination and control layer to coordinate the control of regional the traffic to reduce vehicle delays in the region. First, this article detailed the basic method of the intelligent traffic signal control system in this stage, in particular, the region of the intelligent traffic signal control; Second, using the adjacent intersection of four applications as the study object, application fuzzy control technology build two-tier system and fuzzy control carried out simulation in the MATLAB; Third, the application fuzzy control technology and neural network method combine to build fuzzy - neural network control system and carried out simulation in the MATLAB; Finally, using the size of the vehicles delay in the intersection as the standard of assessing the control system, contrast double fuzzy control system with fuzzy - neural network control system ,it verifies the fuzzy - neural network control system is used to the region's effective regulation of traffic signals can reduce average delay of the region vehicles purpose than double fuzzy control system.This paper uses fuzzy control and neural network control to combine to achieve a region of the intelligent traffic control, and through the neural network control has significantly reduced delay time of region traffic, increase the traffic capacity of the lane, improve the utilization rate of the signal. By verifying, this method is an effective method to solve regional traffic signal coordination control.