Research on the measure method of traffic safety states on the road tunnel

Abstract

First, according to the characters of tunnel traffic flow, we adopted the amount of traffic, average vehicle speed, occupancy rate and other indicators as the identification indicators of the traffic flow to apply the fuzzy inference method to determine the fuzzy rules and membership functions of three factors. Then, according to the traits of road tunnel, we further determined the membership function of static factors of the traffic safety. Finally, according to the Fuzhou tunnel related parameters, we used of AHP and fuzzy evaluation method to detect the state of traffic safety and used of BP neural network algorithm to improve the detection accuracy. The experimental results show that the proposed detection method has better objectivity and accuracy.