A Benders Decomposition Algorithm for the Passenger Train Service Planning

Railway transport becomes a more popular transportation in many countries due to its large transport capacity, low energy consumption, and benign environment. The passenger train service planning is the key of the rail operations system to balance the transport service and the passenger demand. In t...

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Main Author: Song Pu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2021/6653334
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author Song Pu
author_facet Song Pu
author_sort Song Pu
collection DOAJ
description Railway transport becomes a more popular transportation in many countries due to its large transport capacity, low energy consumption, and benign environment. The passenger train service planning is the key of the rail operations system to balance the transport service and the passenger demand. In this paper, we propose a mixed binary linear programming formulation for the passenger train service planning to optimize the train route, frequency, stop schedule, and passenger assignment simultaneously. In addition, we analyze the computational complexities of the model and develop a Benders decomposition algorithm with valid inequalities to solve this problem. Finally, our model and algorithm are tested on a real-world instance of the Beijing-Shanghai high-speed railway line. The computational results show that our approach can solve these problems within reasonable solution time and small optimality gaps (less than 2.5%).
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institution Kabale University
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2042-3195
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spelling doaj-art-8e504ca9bd284ae5bb7db3f0739df40a2025-02-03T06:06:49ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/66533346653334A Benders Decomposition Algorithm for the Passenger Train Service PlanningSong Pu0School of Economics and Management, University of Electronic Science and Technology of China, Chengdu 611731, ChinaRailway transport becomes a more popular transportation in many countries due to its large transport capacity, low energy consumption, and benign environment. The passenger train service planning is the key of the rail operations system to balance the transport service and the passenger demand. In this paper, we propose a mixed binary linear programming formulation for the passenger train service planning to optimize the train route, frequency, stop schedule, and passenger assignment simultaneously. In addition, we analyze the computational complexities of the model and develop a Benders decomposition algorithm with valid inequalities to solve this problem. Finally, our model and algorithm are tested on a real-world instance of the Beijing-Shanghai high-speed railway line. The computational results show that our approach can solve these problems within reasonable solution time and small optimality gaps (less than 2.5%).http://dx.doi.org/10.1155/2021/6653334
spellingShingle Song Pu
A Benders Decomposition Algorithm for the Passenger Train Service Planning
Journal of Advanced Transportation
title A Benders Decomposition Algorithm for the Passenger Train Service Planning
title_full A Benders Decomposition Algorithm for the Passenger Train Service Planning
title_fullStr A Benders Decomposition Algorithm for the Passenger Train Service Planning
title_full_unstemmed A Benders Decomposition Algorithm for the Passenger Train Service Planning
title_short A Benders Decomposition Algorithm for the Passenger Train Service Planning
title_sort benders decomposition algorithm for the passenger train service planning
url http://dx.doi.org/10.1155/2021/6653334
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