Abstract

The passenger transport demands at a given junction station fluctuate obviously in different time periods, which makes the rail departments unable to establish an even train operation schedule. This paper considers an optimization problem for train operations at the junction station in passenger dedicated lines. A satisfaction function of passengers is constructed by means of analyzing the satisfaction characteristics and correlative influencing factors. Through discussing the passengers’ travel choice behavior, we formulate an optimization model based on maximum passenger satisfaction for the junction and then design a heuristic algorithm. Finally, a numerical example is provided to demonstrate the application of the method proposed in this paper.

Highlights

  • In passenger dedicated lines, passenger trains feature high-speed, high-density, and small train-unit, and the characteristics of passenger transport demands are similar to those of city bus passenger demands

  • Previous studies have discussed the departing interval of trains at junction stations based on the condition that passenger transport demands and capacities are equal during the peak time-periods

  • The hypothesis is unreasonable when passenger transport demands are larger than capacities during the peak time-periods

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Summary

Introduction

Passenger trains feature high-speed, high-density, and small train-unit, and the characteristics of passenger transport demands are similar to those of city bus passenger demands. Jha et al studied the alternative travel choices which were evaluated by a disutility function of perceived travel time and perceived schedule delay, and formulated a Bayesian updating model to optimize an alternative scheme 5 He et al presented a fuzzy dispatching model to assist the coordination among multiobjective decisions in railway dispatching plan 6. Shi et al established a multiobjective optimum model of passenger train plans for dedicated passenger traffic lines by balancing benefits of both railway transportation corporations and passengers, and proposed a method to solve the optimization problem 9. We will focus on the matching of passenger train quantity with passenger demands at junction stations in different time-periods in passenger dedicated lines. The last section highlights the conclusion, and suggests future research directions

Passenger Demands and Travel Choices
Optimization Methods
Transferring Passenger Demands
Adjusting Operation Section of Train-Set
Definitions and Notations
Passenger’s Sensitivity for Changing Their Travel Plan
Passenger Satisfaction for Changing Travel Plan
Passenger Satisfaction Function
The Division Method of Time-Period
Modeling
Algorithm Design
Numerical Example
Conclusion
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