Stochastic saturation entropy model of passenger transportation structure configuration for comprehensive transportation corridor

In order to find a systematic and scientific method to optimize the passenger transportation sharing rate of comprehensive transportation corridor, a passenger transportation structure configuration model was put forward based on the maximum entropy theory.In the model, passenger chose transportation mode, so that generalized travel time based on stochastic time value was least, the saturation degree of basic links in the corridor and corridor saturation entropy were defined, and a particle swarm algorithm was designed to solve the model.Analysis result shows that the sharing rates of various transportation modes depend on the differences of out-of-vehicle times, the differences of unit distance prices, the differences of unit distance travel times and travel distances; rail optimal pricing is higher than the current one, the saturation entropy has an increase of 15%, which means that low rail pricing result in the over saturation of passenger flow; the optimal passenger transportation sharing rate can reduce the differences between the saturation degrees of various transportation modes on the basic links in the corridor, and realize the effective match between transportation demand and supply.