Study on cooperation of urban traffic control and route guidance based on fuzzy theory

In this paper, first, by comparing the relative increment of the traffic flow with the occupancy, we can judge whether the road traffic flow is in the congestion formative stage. Then the road congestion is selected as the input of the fuzzy control, while the green light extension time is selected as the output of the fuzzy control. Next, in order to provide the reasonable input data of the fuzzy control, the detection coil is increased to two in every section under the premise of the data acquisition technology of the SCOOT system. Then the membership functions, the fuzzy control rules, the fuzzy reasoning and the defuzzification are identified by the MATLAB simulation software. Finally, according to the characteristic surface of the input/output between the road congestion and the green light extension time, this control system apparently meets the actual situation. Therefore, before the congestion, the cooperation of the urban traffic flow guidance system and the traffic flow control system is realized by the fuzzy theory.