Abstract:

The passenger flow distribution between origin and destination routes of urban rail transit directly affects the passenger flow size in each line section. A scientific and accurate network passenger flow distribution is crucial for passenger flow statistical analysis, passenger flow forecasting, transportation planning, and passenger transportation organization. Based on the notion that the spatiotemporal distribution of passenger flow in an urban rail transit network is fully controllable, this study analyzes the main factors affecting the random probability distribution of passenger flow, establishes a network model architecture, and optimizes the microscopic path selection behavior of passengers and the decision-making process based on the random utility theory. The effective path benefit value function in the passenger flow random assignment model is optimized into a piecewise function. Based on the verification of the route allocation ratio and passenger flow in the split line section, the proposed optimization method achieves the expected goal. The findings of this study lay a solid foundation for the implementation of a standardized, scientific, and systematic urban rail transit clearing.

Key words: urban rail transit, fully observable and controllable experimental method, passenger flow random allocation model, comprehensive travel impedance, shortest path