Abstract
Urban rail transit (URT) is an essential mode of travel used for evacuating passengers from railway stations. To provide timely and safe connecting services for passengers arriving at railway hubs, it is recommended for URT operators to develop a coordinated connection scheme considering the periodic incoming volume of railway passengers. According to the fluctuation characteristics of the large passenger flows in railways, this paper presents a reasonable scheme for increasing the capacity of URT trains. First, a method for calculating the effective evacuation capacity of URT trains and determining the time range that should be optimized according to the transportation capacity matching degree is proposed. The dwell time and departure interval are taken as decision variables in this adjustment period. Two constraints are considered: capacity convergence and the maximum safe capacity of the platform. Based on the consideration of reserved capacity for subsequent sections, the objective is to optimize the degree of matching between the effective evacuation capacity of the URT and the transfer demand of the arriving railway passengers. A multi-objective nonlinear integer-programming model is established for the coordinated connection of URT trains with large passenger flows, and a solution process of a train connection scheme is designed that involves a genetic algorithm. Finally, the effectiveness of the proposed model and algorithm is analyzed and verified by considering the Shanghai Hongqiao Hub-a transfer station between a high-speed railway and URT-as an example.
Highlights
Urban rail transit (URT) is the most important evacuation mode for railway hubs
This paper proposes that the effective evacuation capacity Nid,j of the jth train in a certain direction of Line i after arriving at the station is determined by the residual capacity of the train and the number of passengers that can board the train during the dwell time
The transportation capacity matching degree was introduced, and a method was proposed for determining the adjustment period of the URT train connection scheme according to the railway operation plan and historical passenger flow data
Summary
Urban rail transit (URT) is the most important evacuation mode for railway hubs. With the continuous expansion of the Chinese high-speed rail network, the passenger flow in railway hubs is increasing. According to the AFC (Automatic Fare Collection System) data of URT, the periods of mismatch between the URT and railway are identified Within this time range, considering the train transportation capacity and the limited capacity of the station, two constraints are identified: the connections and the passenger safety. The URT operation plan is often periodic, and the capacity of the trains passing through the railway station in the entire day is relatively constant with only consideration of the internal passenger of URT.
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