Planning the workday of bus drivers by a graph list-coloring model
- Autores
- Lucci, Mauro; Nasini, Graciela Leonor; Severin, Daniel Esteban
- 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.
Fil: Lucci, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
Fil: Nasini, Graciela Leonor. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
Fil: Severin, Daniel Esteban. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina - Materia
-
INTEGER PROGRAMMING MODELS
GRAPH COLORING
HEURISTICS
PLANNING WORKDAY OF BUS DRIVERS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/99612
Ver los metadatos del registro completo
id |
CONICETDig_c82170b1c25d18104496bfe83f4778f9 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/99612 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Planning the workday of bus drivers by a graph list-coloring modelLucci, MauroNasini, Graciela LeonorSeverin, Daniel EstebanINTEGER PROGRAMMING MODELSGRAPH COLORINGHEURISTICSPLANNING WORKDAY OF BUS DRIVERShttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In 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.Fil: Lucci, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaFil: Nasini, Graciela Leonor. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaFil: Severin, Daniel Esteban. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaSociedad Argentina de Informática E Investigación Operativa2018-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/99612Lucci, Mauro; Nasini, Graciela Leonor; Severin, Daniel Esteban; Planning the workday of bus drivers by a graph list-coloring model; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 17; 1; 3-2018; 77-911514-6774CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://sadio.org.ar/index.php/EJS/article/view/47info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:52:30Zoai:ri.conicet.gov.ar:11336/99612instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:52:31.252CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
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, Mauro INTEGER PROGRAMMING MODELS 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, Mauro Nasini, Graciela Leonor Severin, Daniel Esteban |
author |
Lucci, Mauro |
author_facet |
Lucci, Mauro Nasini, Graciela Leonor Severin, Daniel Esteban |
author_role |
author |
author2 |
Nasini, Graciela Leonor Severin, Daniel Esteban |
author2_role |
author author |
dc.subject.none.fl_str_mv |
INTEGER PROGRAMMING MODELS GRAPH COLORING HEURISTICS PLANNING WORKDAY OF BUS DRIVERS |
topic |
INTEGER PROGRAMMING MODELS GRAPH COLORING HEURISTICS PLANNING WORKDAY OF BUS DRIVERS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
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. Fil: Lucci, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina Fil: Nasini, Graciela Leonor. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina Fil: Severin, Daniel Esteban. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina |
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 |
2018-03 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/99612 Lucci, Mauro; Nasini, Graciela Leonor; Severin, Daniel Esteban; Planning the workday of bus drivers by a graph list-coloring model; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 17; 1; 3-2018; 77-91 1514-6774 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/99612 |
identifier_str_mv |
Lucci, Mauro; Nasini, Graciela Leonor; Severin, Daniel Esteban; Planning the workday of bus drivers by a graph list-coloring model; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 17; 1; 3-2018; 77-91 1514-6774 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://sadio.org.ar/index.php/EJS/article/view/47 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Sociedad Argentina de Informática E Investigación Operativa |
publisher.none.fl_str_mv |
Sociedad Argentina de Informática E Investigación Operativa |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1846083053697368064 |
score |
13.22299 |