EURO 2024 Copenhagen
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2413. Scheduling shared passenger and freight transport for high-speed railway networks

Invited abstract in session MB-56: Freight railway transportation , stream Transportation.

Monday, 10:30-12:00
Room: S04 (building: 101)

Authors (first author is the speaker)

1. Siqiao Li
School of Traffic and Transportation, Beijing Jiaotong University
2. Li Wang
School of Traffic and Transportation, Beijing Jiaotong University

Abstract

This study investigates the potential for a shared freight and passenger system to effectively utilize the remaining capacity of high-speed railway networks after serving passenger demand. Two sharing modes, which determine the mixing of passenger and freight flows, are considered and jointly optimized. A space–time network is constructed to capture the passenger/freight trajectories on an existing schedule. A penalty cost based on train load factors is introduced for each trip to represent the influence of shared transportation upon passenger satisfaction, which allows us to analyze the interplay between passenger and freight flows. The model is first formulated as a mixed-integer program that minimizes service and routing costs and then reformulated into a path-based model. A Benders decomposition approach is proposed to decompose the problem into two subproblems. A column-pool-based approximation approach is proposed to efficiently generate space–time paths and obtain good upper bounds. Two tailored acceleration techniques are presented to overcome the problems of slow iteration and wild oscillation. The developed algorithm is tested on 2 small-scale cases and 12 large-scale cases. The computational study provides insight into how the optimal network is affected by the train load factor, penalty cost, sharing mode, and commodity volume.

Keywords

Status: accepted

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