Planning the Workday of Bus Drivers by a Graph List-Coloring Model

Autores
Lucci, M.; Nasini, G.; Severín, D.
Año de publicación
2018
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, we address the problem of planning the workday of bus drivers in argentinian intercity bus transport companies. In particular, we focus on a company which needs to fulfill roughly 800 trips per day between 3 cities of the Province of Buenos Aires with a stuff of around 200 drivers and 100 buses. Planning consists of assigning one driver to each trip in a way the driver performs all the trips without scheduling conflicts and minimizing the overall amount of overtime among all bus drivers. We model the problem as a particular Graph Coloring Problem and we propose an Integer Linear Programming formulation. Computations experiments show that this formulation outperforms other ones given in the literature for the same problem. In order to address large instances as the one given by the company, we also propose a heuristic algorithm that delivers better solutions than the company actually uses in a reasonably amount of time. The heuristic has two phases where the first one constructs an initial solution and the second one improves the solution iteratively.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Integer programming model
Graph coloring
Heuristics
Planning workday of bus drivers
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135196

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network_name_str SEDICI (UNLP)
spelling Planning the Workday of Bus Drivers by a Graph List-Coloring ModelLucci, M.Nasini, G.Severín, D.Ciencias InformáticasInteger programming modelGraph coloringHeuristicsPlanning workday of bus driversIn this work, we address the problem of planning the workday of bus drivers in argentinian intercity bus transport companies. In particular, we focus on a company which needs to fulfill roughly 800 trips per day between 3 cities of the Province of Buenos Aires with a stuff of around 200 drivers and 100 buses. Planning consists of assigning one driver to each trip in a way the driver performs all the trips without scheduling conflicts and minimizing the overall amount of overtime among all bus drivers. We model the problem as a particular Graph Coloring Problem and we propose an Integer Linear Programming formulation. Computations experiments show that this formulation outperforms other ones given in the literature for the same problem. In order to address large instances as the one given by the company, we also propose a heuristic algorithm that delivers better solutions than the company actually uses in a reasonably amount of time. The heuristic has two phases where the first one constructs an initial solution and the second one improves the solution iteratively.Sociedad Argentina de Informática e Investigación Operativa2018-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf77-91http://sedici.unlp.edu.ar/handle/10915/135196spainfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/47info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:06:04Zoai:sedici.unlp.edu.ar:10915/135196Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:06:04.819SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Planning the Workday of Bus Drivers by a Graph List-Coloring Model
title Planning the Workday of Bus Drivers by a Graph List-Coloring Model
spellingShingle Planning the Workday of Bus Drivers by a Graph List-Coloring Model
Lucci, M.
Ciencias Informáticas
Integer programming model
Graph coloring
Heuristics
Planning workday of bus drivers
title_short Planning the Workday of Bus Drivers by a Graph List-Coloring Model
title_full Planning the Workday of Bus Drivers by a Graph List-Coloring Model
title_fullStr Planning the Workday of Bus Drivers by a Graph List-Coloring Model
title_full_unstemmed Planning the Workday of Bus Drivers by a Graph List-Coloring Model
title_sort Planning the Workday of Bus Drivers by a Graph List-Coloring Model
dc.creator.none.fl_str_mv Lucci, M.
Nasini, G.
Severín, D.
author Lucci, M.
author_facet Lucci, M.
Nasini, G.
Severín, D.
author_role author
author2 Nasini, G.
Severín, D.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Integer programming model
Graph coloring
Heuristics
Planning workday of bus drivers
topic Ciencias Informáticas
Integer programming model
Graph coloring
Heuristics
Planning workday of bus drivers
dc.description.none.fl_txt_mv In this work, we address the problem of planning the workday of bus drivers in argentinian intercity bus transport companies. In particular, we focus on a company which needs to fulfill roughly 800 trips per day between 3 cities of the Province of Buenos Aires with a stuff of around 200 drivers and 100 buses. Planning consists of assigning one driver to each trip in a way the driver performs all the trips without scheduling conflicts and minimizing the overall amount of overtime among all bus drivers. We model the problem as a particular Graph Coloring Problem and we propose an Integer Linear Programming formulation. Computations experiments show that this formulation outperforms other ones given in the literature for the same problem. In order to address large instances as the one given by the company, we also propose a heuristic algorithm that delivers better solutions than the company actually uses in a reasonably amount of time. The heuristic has two phases where the first one constructs an initial solution and the second one improves the solution iteratively.
Sociedad Argentina de Informática e Investigación Operativa
description In this work, we address the problem of planning the workday of bus drivers in argentinian intercity bus transport companies. In particular, we focus on a company which needs to fulfill roughly 800 trips per day between 3 cities of the Province of Buenos Aires with a stuff of around 200 drivers and 100 buses. Planning consists of assigning one driver to each trip in a way the driver performs all the trips without scheduling conflicts and minimizing the overall amount of overtime among all bus drivers. We model the problem as a particular Graph Coloring Problem and we propose an Integer Linear Programming formulation. Computations experiments show that this formulation outperforms other ones given in the literature for the same problem. In order to address large instances as the one given by the company, we also propose a heuristic algorithm that delivers better solutions than the company actually uses in a reasonably amount of time. The heuristic has two phases where the first one constructs an initial solution and the second one improves the solution iteratively.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-04
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format article
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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