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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/137888
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:59:37Zoai: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:34982025-09-29 09:59:38.134CONICET 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 |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf application/pdf |
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Internacional |
dc.publisher.none.fl_str_mv |
Matrosov Institute for System Dynamics and Control Theory |
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Matrosov Institute for System Dynamics and Control Theory |
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