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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/135196
Ver los metadatos del registro completo
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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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/135196 |
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http://sedici.unlp.edu.ar/handle/10915/135196 |
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info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/47 info:eu-repo/semantics/altIdentifier/issn/1514-6774 |
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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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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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application/pdf 77-91 |
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