Urban Traffic Situation Discrimination Based on Set Pair Analysis and Evaluation Model
In order to improve the accuracy of road traffic situation discrimination,this paper constructs a traffic situation discriminant set pair analysis model,which constructs the hexadecimal correlation function of road section saturation,travel time ratio and travel speed from the three dimensions of traffic situation identity,difference and opposition,and the dif-ference coefficient value function based on trapezoidal fuzzy number intercept.Based on the road section detector data,the set pair analysis model,fuzzy comprehensive evaluation model and travel time ratio model were used to discriminate the traffic situation,and the discrimi-nant results were analyzed with the situation level characterized by the traffic characteristic parameters in the"Urban Traffic Operation Status Evaluation Specification"(GB/T33171-201),and the results showed that the MSE error values of the set pair analysis model,fuzzy comprehensive evaluation model and travel time ratio model were 0.12,respectively.0.17 and 0.46,proving that the set has a smaller error and stronger immunity to interference.
saturationtravel timesituation discriminationset pair analysiskeystone blur number
NETL
NSTL
万方数据
