Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach

In practice, vehicle scheduling is planned on a variable timetable so that the departure times of trips can be shifted in tolerable ranges, rather than on a fixed timetable, to decrease the required fleet size. This paper investigates the vehicle scheduling problem on a variable timetable with the c...

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Main Authors: Zekang Lan, Shiwei He, Rui Song, Sijia Hao
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2019/2781590
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author Zekang Lan
Shiwei He
Rui Song
Sijia Hao
author_facet Zekang Lan
Shiwei He
Rui Song
Sijia Hao
author_sort Zekang Lan
collection DOAJ
description In practice, vehicle scheduling is planned on a variable timetable so that the departure times of trips can be shifted in tolerable ranges, rather than on a fixed timetable, to decrease the required fleet size. This paper investigates the vehicle scheduling problem on a variable timetable with the constraint that each vehicle can perform limited trips. Since the connection-based model is difficult to solve by optimization software for a medium-scale or large-scale instance, a designed path-based model is developed. A Benders-and-Price algorithm by combining the Benders decomposition and column generation is proposed to solve the LP-relaxation of the path-based model, and a bespoke Branch-and-Price is used to obtain the integer solution. Numerical experiments indicate that a variable timetable approach can reduce the required fleet size with a tolerable timetable deviation in comparison with a fixed timetable approach. Moreover, the proposed algorithm is greatly superior to GUROBI in terms of computational efficiency and guarantees the quality of the solution.
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institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-5746388ebd8f45ea82e5c7595448fd642025-08-20T03:33:35ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/27815902781590Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price ApproachZekang Lan0Shiwei He1Rui Song2Sijia Hao3Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, ChinaIn practice, vehicle scheduling is planned on a variable timetable so that the departure times of trips can be shifted in tolerable ranges, rather than on a fixed timetable, to decrease the required fleet size. This paper investigates the vehicle scheduling problem on a variable timetable with the constraint that each vehicle can perform limited trips. Since the connection-based model is difficult to solve by optimization software for a medium-scale or large-scale instance, a designed path-based model is developed. A Benders-and-Price algorithm by combining the Benders decomposition and column generation is proposed to solve the LP-relaxation of the path-based model, and a bespoke Branch-and-Price is used to obtain the integer solution. Numerical experiments indicate that a variable timetable approach can reduce the required fleet size with a tolerable timetable deviation in comparison with a fixed timetable approach. Moreover, the proposed algorithm is greatly superior to GUROBI in terms of computational efficiency and guarantees the quality of the solution.http://dx.doi.org/10.1155/2019/2781590
spellingShingle Zekang Lan
Shiwei He
Rui Song
Sijia Hao
Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach
Journal of Advanced Transportation
title Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach
title_full Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach
title_fullStr Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach
title_full_unstemmed Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach
title_short Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach
title_sort optimizing vehicle scheduling based on variable timetable by benders and price approach
url http://dx.doi.org/10.1155/2019/2781590
work_keys_str_mv AT zekanglan optimizingvehicleschedulingbasedonvariabletimetablebybendersandpriceapproach
AT shiweihe optimizingvehicleschedulingbasedonvariabletimetablebybendersandpriceapproach
AT ruisong optimizingvehicleschedulingbasedonvariabletimetablebybendersandpriceapproach
AT sijiahao optimizingvehicleschedulingbasedonvariabletimetablebybendersandpriceapproach