Multiobjective design of sustainable public transportation systems

Autores
Rossit, Diego Gabriel; Nesmachnow, Sergio; Toutouh, Jamal
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The design of the bus network is a complex problem in modern cities, since different conflicting objectives have to be considered, from both the perspective of bus companies and the citizens. This article presents a multiobjective model for designing a sustainable public transportation network that simultaneously optimizes the covered travel demands by passengers, the total travel time, and the generated pollution. The proposed model is solved using exact weighted sum and a heuristic procedure based on the standard shortest path problem. Preliminary tests were performed in small real-world instances of Montevideo, Uruguay. Experiments allowed obtaining a set of compromising solutions that in turn allow exploring different trade-off among the optimization criteria. The proposed heuristic was competitive, being able to find a good compromising solution in short computing times.
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Nesmachnow, Sergio. Universidad de la República; Uruguay
Fil: Toutouh, Jamal. Massachusetts Institute of Technology; Estados Unidos
1st International Workshop on Advanced Information and Computation Technologies and Systems
Irkutsk
Rusia
Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences
Materia
DEEP LEARNING
AIR POLLUTION MODELING
STOCHASTIC MODELING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/137888
Acceder
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spelling Multiobjective design of sustainable public transportation systemsRossit, Diego GabrielNesmachnow, SergioToutouh, JamalDEEP LEARNINGAIR POLLUTION MODELINGSTOCHASTIC MODELINGhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2The design of the bus network is a complex problem in modern cities, since different conflicting objectives have to be considered, from both the perspective of bus companies and the citizens. This article presents a multiobjective model for designing a sustainable public transportation network that simultaneously optimizes the covered travel demands by passengers, the total travel time, and the generated pollution. The proposed model is solved using exact weighted sum and a heuristic procedure based on the standard shortest path problem. Preliminary tests were performed in small real-world instances of Montevideo, Uruguay. Experiments allowed obtaining a set of compromising solutions that in turn allow exploring different trade-off among the optimization criteria. The proposed heuristic was competitive, being able to find a good compromising solution in short computing times.Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; ArgentinaFil: Nesmachnow, Sergio. Universidad de la República; UruguayFil: Toutouh, Jamal. Massachusetts Institute of Technology; Estados Unidos1st International Workshop on Advanced Information and Computation Technologies and SystemsIrkutskRusiaMatrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of SciencesMatrosov Institute for System Dynamics and Control Theory2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/137888Multiobjective design of sustainable public transportation systems; 1st International Workshop on Advanced Information and Computation Technologies and Systems; Irkutsk; Rusia; 2020; 152-1591613-0073CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ceur-ws.org/Vol-2858/info:eu-repo/semantics/altIdentifier/url/https://aicts.icc.ru/files/2020/AICTS_2020_Program.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:29:02Zoai:ri.conicet.gov.ar:11336/137888instacron: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:34982025-10-22 11:29:02.663CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Multiobjective design of sustainable public transportation systems
title Multiobjective design of sustainable public transportation systems
spellingShingle Multiobjective design of sustainable public transportation systems
Rossit, Diego Gabriel
DEEP LEARNING
AIR POLLUTION MODELING
STOCHASTIC MODELING
title_short Multiobjective design of sustainable public transportation systems
title_full Multiobjective design of sustainable public transportation systems
title_fullStr Multiobjective design of sustainable public transportation systems
title_full_unstemmed Multiobjective design of sustainable public transportation systems
title_sort Multiobjective design of sustainable public transportation systems
dc.creator.none.fl_str_mv Rossit, Diego Gabriel
Nesmachnow, Sergio
Toutouh, Jamal
author Rossit, Diego Gabriel
author_facet Rossit, Diego Gabriel
Nesmachnow, Sergio
Toutouh, Jamal
author_role author
author2 Nesmachnow, Sergio
Toutouh, Jamal
author2_role author
author
dc.subject.none.fl_str_mv DEEP LEARNING
AIR POLLUTION MODELING
STOCHASTIC MODELING
topic DEEP LEARNING
AIR POLLUTION MODELING
STOCHASTIC MODELING
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The design of the bus network is a complex problem in modern cities, since different conflicting objectives have to be considered, from both the perspective of bus companies and the citizens. This article presents a multiobjective model for designing a sustainable public transportation network that simultaneously optimizes the covered travel demands by passengers, the total travel time, and the generated pollution. The proposed model is solved using exact weighted sum and a heuristic procedure based on the standard shortest path problem. Preliminary tests were performed in small real-world instances of Montevideo, Uruguay. Experiments allowed obtaining a set of compromising solutions that in turn allow exploring different trade-off among the optimization criteria. The proposed heuristic was competitive, being able to find a good compromising solution in short computing times.
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Nesmachnow, Sergio. Universidad de la República; Uruguay
Fil: Toutouh, Jamal. Massachusetts Institute of Technology; Estados Unidos
1st International Workshop on Advanced Information and Computation Technologies and Systems
Irkutsk
Rusia
Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences
description The design of the bus network is a complex problem in modern cities, since different conflicting objectives have to be considered, from both the perspective of bus companies and the citizens. This article presents a multiobjective model for designing a sustainable public transportation network that simultaneously optimizes the covered travel demands by passengers, the total travel time, and the generated pollution. The proposed model is solved using exact weighted sum and a heuristic procedure based on the standard shortest path problem. Preliminary tests were performed in small real-world instances of Montevideo, Uruguay. Experiments allowed obtaining a set of compromising solutions that in turn allow exploring different trade-off among the optimization criteria. The proposed heuristic was competitive, being able to find a good compromising solution in short computing times.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/137888
Multiobjective design of sustainable public transportation systems; 1st International Workshop on Advanced Information and Computation Technologies and Systems; Irkutsk; Rusia; 2020; 152-159
1613-0073
CONICET Digital
CONICET
url http://hdl.handle.net/11336/137888
identifier_str_mv Multiobjective design of sustainable public transportation systems; 1st International Workshop on Advanced Information and Computation Technologies and Systems; Irkutsk; Rusia; 2020; 152-159
1613-0073
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ceur-ws.org/Vol-2858/
info:eu-repo/semantics/altIdentifier/url/https://aicts.icc.ru/files/2020/AICTS_2020_Program.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Matrosov Institute for System Dynamics and Control Theory
publisher.none.fl_str_mv Matrosov Institute for System Dynamics and Control Theory
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
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