Research on passenger flow and energy consumption in a subway system with fuzzy passenger arrival rates

Abstract

To relieve the traffic pressure in a subway system, in reality, increasing train frequency, improving train capacity and applying express trains, are three practical organization strategies. In this paper, we compare these three strategies by using four evaluation indexes, including accumulated congestion degree, loading ratio, passenger volume and energy consumption in one direction during one hour. Moreover, in order to determine the optimal strategy, an ideal-point compromise approach is employed in this paper. Specifically, for investigating the passenger flow and energy consumption in aforementioned strategies, we provide variation models for passenger flow in a subway system with fuzzy passenger arrival rates and alighting ratios. By using the operational data from Beijing Yizhuang subway line, we conduct extensive case studies to illustrate the performance of different strategies.