Solving of school bus routing problem by ant colony optimization
The school bus routing problem (SBRP) seeks to plan an efficient schedule of a fleet of school buses that must pick up students from various bus stops and deliver them by satisfying various constraints: maximum capacity of the bus, maximum riding time of students, time window to arrive to school. In...
- Autores:
-
Arias-Rojas, Juan S.
Jiménez-Gordillo, J. F. (José Fernando)
Montoya-Torres, J. R. (Jairo Rafael)
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2011
- Institución:
- Universidad EIA .
- Repositorio:
- Repositorio EIA .
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eia.edu.co:11190/137
- Acceso en línea:
- https://repository.eia.edu.co/handle/11190/137
- Palabra clave:
- REI00186
HEURÍSTICA
HEURISTIC
INFRAESTRUCTURA Y GESTIÓN DEL TERRITORIO
INFRAESTRUCTURE AND LAND PLANNING
SCHOOL BUS
ROUTING
ANT COLONY
CASE STUDY
BUSES ESCOLARES
RUTEO
COLONIA DE HORMIGAS
ESTUDIO DE CASO
- Rights
- openAccess
- License
- Derechos Reservados - Universidad EIA, 2020
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dc.title.spa.fl_str_mv |
Solving of school bus routing problem by ant colony optimization |
dc.title.alternative.spa.fl_str_mv |
Resolução do problema de ruteo de ônibus escolares com otimização por colônia de formigas Resolución del problema de ruteo de buses escolares con optimización por colonia de hormigas |
title |
Solving of school bus routing problem by ant colony optimization |
spellingShingle |
Solving of school bus routing problem by ant colony optimization REI00186 HEURÍSTICA HEURISTIC INFRAESTRUCTURA Y GESTIÓN DEL TERRITORIO INFRAESTRUCTURE AND LAND PLANNING SCHOOL BUS ROUTING ANT COLONY CASE STUDY BUSES ESCOLARES RUTEO COLONIA DE HORMIGAS ESTUDIO DE CASO |
title_short |
Solving of school bus routing problem by ant colony optimization |
title_full |
Solving of school bus routing problem by ant colony optimization |
title_fullStr |
Solving of school bus routing problem by ant colony optimization |
title_full_unstemmed |
Solving of school bus routing problem by ant colony optimization |
title_sort |
Solving of school bus routing problem by ant colony optimization |
dc.creator.fl_str_mv |
Arias-Rojas, Juan S. Jiménez-Gordillo, J. F. (José Fernando) Montoya-Torres, J. R. (Jairo Rafael) |
dc.contributor.author.spa.fl_str_mv |
Arias-Rojas, Juan S. Jiménez-Gordillo, J. F. (José Fernando) Montoya-Torres, J. R. (Jairo Rafael) |
dc.subject.lcsh.spa.fl_str_mv |
REI00186 |
topic |
REI00186 HEURÍSTICA HEURISTIC INFRAESTRUCTURA Y GESTIÓN DEL TERRITORIO INFRAESTRUCTURE AND LAND PLANNING SCHOOL BUS ROUTING ANT COLONY CASE STUDY BUSES ESCOLARES RUTEO COLONIA DE HORMIGAS ESTUDIO DE CASO |
dc.subject.arcmarc.spa.fl_str_mv |
HEURÍSTICA HEURISTIC |
dc.subject.eia.spa.fl_str_mv |
INFRAESTRUCTURA Y GESTIÓN DEL TERRITORIO INFRAESTRUCTURE AND LAND PLANNING |
dc.subject.keywords.spa.fl_str_mv |
SCHOOL BUS ROUTING ANT COLONY CASE STUDY BUSES ESCOLARES RUTEO COLONIA DE HORMIGAS ESTUDIO DE CASO |
description |
The school bus routing problem (SBRP) seeks to plan an efficient schedule of a fleet of school buses that must pick up students from various bus stops and deliver them by satisfying various constraints: maximum capacity of the bus, maximum riding time of students, time window to arrive to school. In this paper, we consider a case study of SBRP for a school in Bogotá, Colombia. The problem is solved using ant colony optimization (ACO). Computational experiments are performed using real data. Results lead to increased bus utilization and reduction in transportation times with on-time delivery to the school. The proposed decision-aid tool has shown its usefulness for actual decision-making at the school: it outperforms current routing by reducing the total distance traveled by 8.3 % and 21.4 % respectively in the morning and in the afternoon. |
publishDate |
2011 |
dc.date.submitted.spa.fl_str_mv |
2011-09-21 |
dc.date.created.spa.fl_str_mv |
2012-07 |
dc.date.accepted.spa.fl_str_mv |
2012-06-16 |
dc.date.accessioned.spa.fl_str_mv |
2013-11-13T19:31:21Z |
dc.date.available.spa.fl_str_mv |
2013-11-13T19:31:21Z |
dc.date.issued.spa.fl_str_mv |
2013-11-13 |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
ISSN 17941237 |
dc.identifier.uri.spa.fl_str_mv |
https://repository.eia.edu.co/handle/11190/137 |
dc.identifier.bibliographiccitation.spa.fl_str_mv |
Arias-Rojas, Juan S., Jiménez, J. F., and Montoya-Torres, J. T. (2012). Solving of school bus routing problem by ant colony optimization, Revista EIA, 9 (17), 193-208. doi: http://hdl.handle.net/11190/137 |
identifier_str_mv |
ISSN 17941237 Arias-Rojas, Juan S., Jiménez, J. F., and Montoya-Torres, J. T. (2012). Solving of school bus routing problem by ant colony optimization, Revista EIA, 9 (17), 193-208. doi: http://hdl.handle.net/11190/137 |
url |
https://repository.eia.edu.co/handle/11190/137 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.spa.fl_str_mv |
Revista EIA |
dc.relation.references.spa.fl_str_mv |
Angel, R. D.; Caudle, W. L.; Noonan, R. and Whinston, A. (1972). “Computer-assisted school bus scheduling”. Management Science, vol. 18, No. 6 (February), pp. 279-288. Bennett, B. T. and Gazis, D. C. (1972). “School bus routing by computer”. Transportation Research, vol. 6, No. 4 (December), pp. 317-325. Bodin, L. D. and Berman, L. (1979). “Routing and scheduling of school buses by computer”. Transportation Science, vol. 13, No. 2, pp. 113-129. Bowerman, R.; Hall, B. and Calamai, P. (1995). “A multiobjective optimization approach to urban school bus routing: Formulation and solution method”. Transportation Research Part A, 29, pp. 693-702. Braca, J.; Bramel, J.; Posner, B. and Simchi-Levi, D. (1997). “A computerized approach to the New York City school bus routing problem”. IIE Transactions, vol. 29, No. 8, pp. 693-702. |
dc.rights.spa.fl_str_mv |
Derechos Reservados - Universidad EIA, 2020 |
dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.creativecommons.spa.fl_str_mv |
Atribución-NoComercial |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Derechos Reservados - Universidad EIA, 2020 https://creativecommons.org/licenses/by-nc/4.0/ Atribución-NoComercial http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.spa.fl_str_mv |
16 p. |
dc.publisher.editor.spa.fl_str_mv |
Fondo Editorial EIA |
institution |
Universidad EIA . |
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Arias-Rojas, Juan S.c6392f8fe14f4a3df1302cc88a482021-1Jiménez-Gordillo, J. F. (José Fernando)68dca8873b3e7cf68e9f3cc98aed1d31-1Montoya-Torres, J. R. (Jairo Rafael)9b36650fe9a840aeca4a4fa1a52fe9c6-1juan.arias@javeriana.edu.coj-jimenez@javeriana.edu.cojairo.montoya@unisabana.edu.co2013-11-13T19:31:21Z2013-11-13T19:31:21Z2012-072013-11-132011-09-212012-06-16ISSN 17941237https://repository.eia.edu.co/handle/11190/137Arias-Rojas, Juan S., Jiménez, J. F., and Montoya-Torres, J. T. (2012). Solving of school bus routing problem by ant colony optimization, Revista EIA, 9 (17), 193-208. doi: http://hdl.handle.net/11190/137The school bus routing problem (SBRP) seeks to plan an efficient schedule of a fleet of school buses that must pick up students from various bus stops and deliver them by satisfying various constraints: maximum capacity of the bus, maximum riding time of students, time window to arrive to school. In this paper, we consider a case study of SBRP for a school in Bogotá, Colombia. The problem is solved using ant colony optimization (ACO). Computational experiments are performed using real data. Results lead to increased bus utilization and reduction in transportation times with on-time delivery to the school. The proposed decision-aid tool has shown its usefulness for actual decision-making at the school: it outperforms current routing by reducing the total distance traveled by 8.3 % and 21.4 % respectively in the morning and in the afternoon.El problema de ruteo de buses escolares (SBRP) busca encontrar el programa más eficiente para una flota de buses escolares que deben recoger y despachar estudiantes en varias paradas de bus satisfaciendo varias restricciones: capacidad máxima del bus, máximo tiempo de recorrido de los estudiantes, ventanas de tiempo para la llegada al colegio. En este artículo se considera un caso de estudio de un problema SBRP para un colegio en Bogotá, Colombia. El problema se resuelve usando la metaheurística de colonia de hormigas (ACO). Los experimentos computacionales se realizan empleando datos reales. Los resultados muestran el incremento en el nivel de utilización de los buses y una reducción en los tiempos de transporte con despacho a tiempo en el colegio. La herramienta ha mostrado su utilidad para la planeación regular de buses en el colegio: se redujo la distancia total recorrida en 8,3 % en la mañana y en 21,4 % en la tarde.16 p.engRevista EIAAngel, R. D.; Caudle, W. L.; Noonan, R. and Whinston, A. (1972). “Computer-assisted school bus scheduling”. Management Science, vol. 18, No. 6 (February), pp. 279-288.Bennett, B. T. and Gazis, D. C. (1972). “School bus routing by computer”. Transportation Research, vol. 6, No. 4 (December), pp. 317-325.Bodin, L. D. and Berman, L. (1979). “Routing and scheduling of school buses by computer”. Transportation Science, vol. 13, No. 2, pp. 113-129.Bowerman, R.; Hall, B. and Calamai, P. (1995). “A multiobjective optimization approach to urban school bus routing: Formulation and solution method”. Transportation Research Part A, 29, pp. 693-702.Braca, J.; Bramel, J.; Posner, B. and Simchi-Levi, D. (1997). “A computerized approach to the New York City school bus routing problem”. IIE Transactions, vol. 29, No. 8, pp. 693-702.Derechos Reservados - Universidad EIA, 2020https://creativecommons.org/licenses/by-nc/4.0/El autor de la obra, actuando en nombre propio, hace entrega del ejemplar respectivo y de sus anexos en formato digital o electrónico y autoriza a la ESCUELA DE INGENIERIA DE ANTIOQUIA, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995, y demás normas generales sobre la materia, utilice y use por cualquier medio conocido o por conocer, los derechos patrimoniales de reproducción, comunicación pública, transformación y distribución de la obra objeto del presente documento. PARÁGRAFO: La presente autorización se hace extensiva no sólo a las dependencias y derechos de uso sobre la obra en formato o soporte material, sino también para formato virtual, electrónico, digital, y en red, internet, extranet, intranet, etc., y en general en cualquier formato conocido o por conocer. EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realiza sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARÁGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la ESCUELA DE INGENIERÍA DE ANTIOQUIA actúa como un tercero de buena fe.info:eu-repo/semantics/openAccessAtribución-NoComercialhttp://purl.org/coar/access_right/c_abf2REI00186HEURÍSTICAHEURISTICINFRAESTRUCTURA Y GESTIÓN DEL TERRITORIOINFRAESTRUCTURE AND LAND PLANNINGSCHOOL BUSROUTINGANT COLONYCASE STUDYBUSES ESCOLARESRUTEOCOLONIA DE HORMIGASESTUDIO DE CASOSolving of school bus routing problem by ant colony optimizationResolução do problema de ruteo de ônibus escolares com otimização por colônia de formigasResolución del problema de ruteo de buses escolares con optimización por colonia de hormigasArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTexthttps://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85Fondo Editorial EIAPublicationTHUMBNAILREI00186.pdf.jpgREI00186.pdf.jpgGenerated Thumbnailimage/jpeg10164https://repository.eia.edu.co/bitstreams/23325a0c-aa24-418e-911d-6ef20c108dfa/download480ca16814b4eb353c9da5a09aaf5ba0MD54ORIGINALREI00186.pdfREI00186.pdfapplication/pdf1863323https://repository.eia.edu.co/bitstreams/e498c4e2-3b9c-48cd-b25d-68840af92267/download7000bfc8db3ddb22c15f8d6fff3d4739MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81494https://repository.eia.edu.co/bitstreams/f1c736f5-0400-496f-a353-42a7c86f0459/download66874b0b9366b748c60895d2fb6339f8MD52TEXTREI00186.pdf.txtREI00186.pdf.txtExtracted texttext/plain42023https://repository.eia.edu.co/bitstreams/dcf8012e-b1b1-4486-b487-80cfc19d3403/download8962a8e00a21c7af951317825f62cc07MD5311190/137oai:repository.eia.edu.co:11190/1372023-07-25 16:46:14.259https://creativecommons.org/licenses/by-nc/4.0/Derechos Reservados - Universidad EIA, 2020open.accesshttps://repository.eia.edu.coRepositorio Institucional Universidad EIAbdigital@metabiblioteca.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 |