Influence of Short-Turning Route on Transport Capacity of Urban Rail Transit

Abstract

Influence of short-turning route on transport capacity of urban rail transit systems have been intensively studied. Yet, even successful modelling approach such as those considering fixed facilities still do not fully take into account the real-life passenger mobility. Passenger demand and its spatial-temporal patterns derived from smart card and data obtained from the automated fare collection system facilitate transport capacity assessment scientifically. This paper utilize trip data obtained from an urban rail transit line to characterize passenger demand. A nonlinear integer programming model is proposed, with maximal transport capacity as the objective. A numerical case is adopted to verify the validity of the model with Genetic Algorithm, and the sensitivity of passenger demand pattern is analyzed in terms of service level and limited amount of rolling stocks, comparing to a single full-length route. The results indicate that short-turning route helps to increase the transport capacity under a certain condition and give some insights on urban rail transit operation and management.