Study on Optimal Allocation of Rail Transit Capacity Based on Utility of Passenger Flow Transfer and Loss

Abstract

There are imbalances in the scale of passenger flow in different periods of the rail transit operation day, which can be generally divided into peak, flat peak and low peak periods. Due to the influence of maximum transport capacity and other factors, the passenger flow in each period of rail transit will have a loss effect, and passenger flow transfer effect will occur in different time periods, resulting in a random dynamic evolution of the passenger flow scale distribution during the period. In view of this, based on the selection characteristics of passenger flow random utility maximization, this paper proposes a passenger flow transfer quantity determination method based on passenger flow transfer utility, establishes passenger flow transfer model based on random utility theory and passenger flow transfer probability function, determines the transfer passenger flow in each time period, and then determines actual passenger flow at each time. On this basis, the evaluation system of capacity allocation schemes in each period is established, and the simulations are carried out through examples to analyze the advantages and disadvantages of the capacity allocation schemes in each period to provide decision-making basis for decision makers.

This research has been supported by the National Key Research and Development Program of China (2017YFB1200702, 2016YFC0802208), National Natural Science Foundation of China (Project No. 1703351), Science and Technology Plan of China Railway Corporation (Project No.: 2016X006-D), and Science and Technology Plan of Sichuan province (Project No. 2017ZR0149, 2017RZ0007), Fundamental Research Funds for the Central Universities (2682017ZDPY04, 2682017CX022, 2682017CX018), and the Science and technology research and development plan of Beijing-Shanghai high speed railway.