Abstract
Urban rail transit connecting with a comprehensive transportation hub should meet passenger demands not only within the urban area, but also from outer areas through high-speed railways or planes, which leads to different characteristics of passenger demands. This paper discusses two strategies to deal with these complex passenger demands from two aspects: transit train formation and real-time holding control. First, we establish a model to optimize the multi-marshalling problem by minimizing the trains’ vacant capacities to cope with the fluctuation of demand in different periods. Then, we establish another model to control the multi-marshalling trains in real time to minimize the passengers’ total waiting time. A genetic algorithm (GA) is designed to solve the integrated two-step model of optimizing the number, timetable and real-time holding control of the multi-marshalling trains. The numerical results show that the combined two-step model of multi-marshalling operation and holding control at stations can better deal with the demand fluctuation of urban rail transit connecting with the comprehensive transportation hub. This method can efficiently reduce the number of passengers detained at the hub station as well as the waiting time without increasing the passengers’ on-train time even with highly fluctuating passenger flow.
Highlights
A comprehensive transportation hub connecting with multiple transportation modes is the key to connecting and transferring traffic from inside and outside a metropolis
For an urban rail transit line connected with hubs, passenger demand comes from the daily commuter passengers within the city and from the outer transportation modes connected with the comprehensive transportation hub
(1) Matching of train supply and passenger demand First, the matching of train supply with passenger demand is measured by the difference between the passenger demand and the number of passengers getting on the rail transit line in each unit period: the smaller the difference, the higher the degree of matching
Summary
A comprehensive transportation hub connecting with multiple transportation modes is the key to connecting and transferring traffic from inside and outside a metropolis. Li et al [14] studied the routing problem of multi-route and single marshalling trains on Y-type lines They proposed an integer programming model with the goal of minimizing operating costs and passenger costs. Li et al [17] proposed an optimization model and solution method for the design problem of multijunction and multi-marshalling train routing with the goal of minimizing the cost of operating companies and the cost of passenger waiting time, considering the passengers’ selection behaviors of different trains. (2) The model carries out real-time station control for multi-marshalling trains, considering the fluctuation in passenger flow demand caused by the arrival delay of other transportation modes in the junction, and optimizes the trains’ dwelling time control at each station, where dwelling time can be both shorter and longer than the scheduled time.
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