Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal

Detalhes bibliográficos
Autor(a) principal: Santos, Luís
Data de Publicação: 2008
Outros Autores: Coutinho-Rodrigues, João, Current, John R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/3949
https://doi.org/10.1016/j.tra.2007.08.009
Resumo: More efficient vehicle routing can improve a firm's competitive advantage or increase the efficiency by which governmental agencies supply public services. More efficient routing can also reduce traffic congestion and air pollution which are growing problems in many urban areas. Unfortunately, the identification of the optimal solution to most vehicle routing problems is computationally intractable. This article presents a user-friendly spatial decision support system (SDSS) to generate vehicle routes for multiple-vehicle routing problems that serve demand located along arcs and at nodes of the transportation network. The SDSS incorporates a geographical information system (GIS) and heuristic solution procedures to generate routes, system-wide data, and maps, as well as individual vehicle route maps, directions, and data quickly. It accommodates realistic system specifics such as vehicle capacity and time constraints and network constraints such as one-way streets, and prohibited turns. The system was tested for trash collection in Coimbra, Portugal. In addition, the SDSS can be used for "what-if" analysis related to possible changes to input parameters such as vehicle capacity and maximum driving time.
id RCAP_f5f67a66a6329d2a7a9c5890f107c1a0
oai_identifier_str oai:estudogeral.uc.pt:10316/3949
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in PortugalVehicle routingSpatial decision support systemsGeographical information systemsHeuristicsMore efficient vehicle routing can improve a firm's competitive advantage or increase the efficiency by which governmental agencies supply public services. More efficient routing can also reduce traffic congestion and air pollution which are growing problems in many urban areas. Unfortunately, the identification of the optimal solution to most vehicle routing problems is computationally intractable. This article presents a user-friendly spatial decision support system (SDSS) to generate vehicle routes for multiple-vehicle routing problems that serve demand located along arcs and at nodes of the transportation network. The SDSS incorporates a geographical information system (GIS) and heuristic solution procedures to generate routes, system-wide data, and maps, as well as individual vehicle route maps, directions, and data quickly. It accommodates realistic system specifics such as vehicle capacity and time constraints and network constraints such as one-way streets, and prohibited turns. The system was tested for trash collection in Coimbra, Portugal. In addition, the SDSS can be used for "what-if" analysis related to possible changes to input parameters such as vehicle capacity and maximum driving time.http://www.sciencedirect.com/science/article/B6VG7-4S094WG-1/1/a49767e3030ce208ad39a0f8ce2d119c2008info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/3949http://hdl.handle.net/10316/3949https://doi.org/10.1016/j.tra.2007.08.009engTransportation Research Part A: Policy and Practice. 42:6 (2008) 922-934Santos, LuísCoutinho-Rodrigues, JoãoCurrent, John R.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-11-06T16:59:24Zoai:estudogeral.uc.pt:10316/3949Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:10.395010Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal
title Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal
spellingShingle Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal
Santos, Luís
Vehicle routing
Spatial decision support systems
Geographical information systems
Heuristics
title_short Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal
title_full Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal
title_fullStr Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal
title_full_unstemmed Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal
title_sort Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal
author Santos, Luís
author_facet Santos, Luís
Coutinho-Rodrigues, João
Current, John R.
author_role author
author2 Coutinho-Rodrigues, João
Current, John R.
author2_role author
author
dc.contributor.author.fl_str_mv Santos, Luís
Coutinho-Rodrigues, João
Current, John R.
dc.subject.por.fl_str_mv Vehicle routing
Spatial decision support systems
Geographical information systems
Heuristics
topic Vehicle routing
Spatial decision support systems
Geographical information systems
Heuristics
description More efficient vehicle routing can improve a firm's competitive advantage or increase the efficiency by which governmental agencies supply public services. More efficient routing can also reduce traffic congestion and air pollution which are growing problems in many urban areas. Unfortunately, the identification of the optimal solution to most vehicle routing problems is computationally intractable. This article presents a user-friendly spatial decision support system (SDSS) to generate vehicle routes for multiple-vehicle routing problems that serve demand located along arcs and at nodes of the transportation network. The SDSS incorporates a geographical information system (GIS) and heuristic solution procedures to generate routes, system-wide data, and maps, as well as individual vehicle route maps, directions, and data quickly. It accommodates realistic system specifics such as vehicle capacity and time constraints and network constraints such as one-way streets, and prohibited turns. The system was tested for trash collection in Coimbra, Portugal. In addition, the SDSS can be used for "what-if" analysis related to possible changes to input parameters such as vehicle capacity and maximum driving time.
publishDate 2008
dc.date.none.fl_str_mv 2008
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/3949
http://hdl.handle.net/10316/3949
https://doi.org/10.1016/j.tra.2007.08.009
url http://hdl.handle.net/10316/3949
https://doi.org/10.1016/j.tra.2007.08.009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Transportation Research Part A: Policy and Practice. 42:6 (2008) 922-934
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv aplication/PDF
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799133860095590400