Crew Scheduling Considering both Crew Duty Time Difference and Cost on Urban Rail System

Urban rail crew scheduling problem is to allocate train services to crews based on a given train timetable while satisfying all the operational and contractual requirements. In this paper, we present a new mathematical programming model with the aim of minimizing both the related costs of crew duty...

Full description

Bibliographic Details
Main Authors: Wenliang Zhou, Xia Yang, Lianbo Deng, Jin Qin
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2016-11-01
Series:Promet (Zagreb)
Subjects:
Online Access:https://traffic.fpz.hr/index.php/PROMTT/article/view/1842
_version_ 1811210006400335872
author Wenliang Zhou
Xia Yang
Lianbo Deng
Jin Qin
author_facet Wenliang Zhou
Xia Yang
Lianbo Deng
Jin Qin
author_sort Wenliang Zhou
collection DOAJ
description Urban rail crew scheduling problem is to allocate train services to crews based on a given train timetable while satisfying all the operational and contractual requirements. In this paper, we present a new mathematical programming model with the aim of minimizing both the related costs of crew duty and the variance of duty time spreads. In addition to iincorporating the commonly encountered crew scheduling constraints, it also takes into consideration the constraint of arranging crews having a meal in the specific meal period of one day rather than after a minimum continual service time. The proposed model is solved by an ant colony algorithm which is built based on the construction of ant travel network and the design of ant travel path choosing strategy. The performances of the model and the algorithm are evaluated by conducting case study on Changsha urban rail. The results indicate that the proposed method can obtain a satisfactory crew schedule for urban rails with a relatively small computational time.
first_indexed 2024-04-12T04:48:40Z
format Article
id doaj.art-011c6f8a47214da8bbf55139eaacde66
institution Directory Open Access Journal
issn 0353-5320
1848-4069
language English
last_indexed 2024-04-12T04:48:40Z
publishDate 2016-11-01
publisher University of Zagreb, Faculty of Transport and Traffic Sciences
record_format Article
series Promet (Zagreb)
spelling doaj.art-011c6f8a47214da8bbf55139eaacde662022-12-22T03:47:22ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692016-11-0128544946010.7307/ptt.v28i5.18421842Crew Scheduling Considering both Crew Duty Time Difference and Cost on Urban Rail SystemWenliang Zhou0Xia Yang1Lianbo Deng2Jin Qin3Central South UniversityRensselaer Polytechnic InstituteCentral South UniversityCentral South UniversityUrban rail crew scheduling problem is to allocate train services to crews based on a given train timetable while satisfying all the operational and contractual requirements. In this paper, we present a new mathematical programming model with the aim of minimizing both the related costs of crew duty and the variance of duty time spreads. In addition to iincorporating the commonly encountered crew scheduling constraints, it also takes into consideration the constraint of arranging crews having a meal in the specific meal period of one day rather than after a minimum continual service time. The proposed model is solved by an ant colony algorithm which is built based on the construction of ant travel network and the design of ant travel path choosing strategy. The performances of the model and the algorithm are evaluated by conducting case study on Changsha urban rail. The results indicate that the proposed method can obtain a satisfactory crew schedule for urban rails with a relatively small computational time.https://traffic.fpz.hr/index.php/PROMTT/article/view/1842urban railwaycrew scheduleant colony algorithmduty time difference
spellingShingle Wenliang Zhou
Xia Yang
Lianbo Deng
Jin Qin
Crew Scheduling Considering both Crew Duty Time Difference and Cost on Urban Rail System
Promet (Zagreb)
urban railway
crew schedule
ant colony algorithm
duty time difference
title Crew Scheduling Considering both Crew Duty Time Difference and Cost on Urban Rail System
title_full Crew Scheduling Considering both Crew Duty Time Difference and Cost on Urban Rail System
title_fullStr Crew Scheduling Considering both Crew Duty Time Difference and Cost on Urban Rail System
title_full_unstemmed Crew Scheduling Considering both Crew Duty Time Difference and Cost on Urban Rail System
title_short Crew Scheduling Considering both Crew Duty Time Difference and Cost on Urban Rail System
title_sort crew scheduling considering both crew duty time difference and cost on urban rail system
topic urban railway
crew schedule
ant colony algorithm
duty time difference
url https://traffic.fpz.hr/index.php/PROMTT/article/view/1842
work_keys_str_mv AT wenliangzhou crewschedulingconsideringbothcrewdutytimedifferenceandcostonurbanrailsystem
AT xiayang crewschedulingconsideringbothcrewdutytimedifferenceandcostonurbanrailsystem
AT lianbodeng crewschedulingconsideringbothcrewdutytimedifferenceandcostonurbanrailsystem
AT jinqin crewschedulingconsideringbothcrewdutytimedifferenceandcostonurbanrailsystem