An inverse bilevel equilibrium problem for public transport demand estimation

Autores
Orlando, Victoria Maria; Baquela, Enrique Gabriel; Bhouri, Neila; Lotito, Pablo Andres
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We consider the problem of demand estimation for public transport networks. Given an origin-destination matrix representing the public transport demand, the distribution of flow among different lines can be obtained assuming that it corresponds to a certain equilibrium characterized by an optimization problem. The knowledge of the origin-destination matrix is expensive and sometimes unaffordable in practice. Traditionally, it is estimated using statistical or econometrical considerations. In this work, we explore the estimation through the numerical solution of a bilevel optimization problem. One disadvantage of this formulation is the difficulty of obtaining descent directions, therefore we proposed a derivative-free method for the resolution of the optimization problem. The method is firstly tested on small networks using a derivative-free optimization method and then, using an approach based on simulation. This simulation-optimization methodology showed as good results as analytical modeling, opening the door to handle bigger networks where analytical computation is hard to accomplish.
Fil: Orlando, Victoria Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina
Fil: Baquela, Enrique Gabriel. Universidad Tecnológica Nacional. Facultad Regional San Nicolás; Argentina
Fil: Bhouri, Neila. Universitè Gustave Eiffel; Francia
Fil: Lotito, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina
16th International Federation of Automatic Control Symposium on Control in Transportation Systems
Lille
Francia
International Federation of Automatic Control
Materia
TRANSIT ASSIGNMENT
PUBLIC-TRANSPORT DEMAND
BI-LEVEL OPTIMIZATION
SIMULATION
EQUILIBRIUM MODEL
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:11336/236763
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/236763
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An inverse bilevel equilibrium problem for public transport demand estimationOrlando, Victoria MariaBaquela, Enrique GabrielBhouri, NeilaLotito, Pablo AndresTRANSIT ASSIGNMENTPUBLIC-TRANSPORT DEMANDBI-LEVEL OPTIMIZATIONSIMULATIONEQUILIBRIUM MODELhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1We consider the problem of demand estimation for public transport networks. Given an origin-destination matrix representing the public transport demand, the distribution of flow among different lines can be obtained assuming that it corresponds to a certain equilibrium characterized by an optimization problem. The knowledge of the origin-destination matrix is expensive and sometimes unaffordable in practice. Traditionally, it is estimated using statistical or econometrical considerations. In this work, we explore the estimation through the numerical solution of a bilevel optimization problem. One disadvantage of this formulation is the difficulty of obtaining descent directions, therefore we proposed a derivative-free method for the resolution of the optimization problem. The method is firstly tested on small networks using a derivative-free optimization method and then, using an approach based on simulation. This simulation-optimization methodology showed as good results as analytical modeling, opening the door to handle bigger networks where analytical computation is hard to accomplish.Fil: Orlando, Victoria Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; ArgentinaFil: Baquela, Enrique Gabriel. Universidad Tecnológica Nacional. Facultad Regional San Nicolás; ArgentinaFil: Bhouri, Neila. Universitè Gustave Eiffel; FranciaFil: Lotito, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina16th International Federation of Automatic Control Symposium on Control in Transportation SystemsLilleFranciaInternational Federation of Automatic ControlElsevier2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectSimposioJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/236763An inverse bilevel equilibrium problem for public transport demand estimation; 16th International Federation of Automatic Control Symposium on Control in Transportation Systems; Lille; Francia; 2021; 13-182405-8963CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2405896321004304info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ifacol.2021.06.002Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:17:45Zoai:ri.conicet.gov.ar:11336/236763instacron: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 15:17:45.482CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An inverse bilevel equilibrium problem for public transport demand estimation
title An inverse bilevel equilibrium problem for public transport demand estimation
spellingShingle An inverse bilevel equilibrium problem for public transport demand estimation
Orlando, Victoria Maria
TRANSIT ASSIGNMENT
PUBLIC-TRANSPORT DEMAND
BI-LEVEL OPTIMIZATION
SIMULATION
EQUILIBRIUM MODEL
title_short An inverse bilevel equilibrium problem for public transport demand estimation
title_full An inverse bilevel equilibrium problem for public transport demand estimation
title_fullStr An inverse bilevel equilibrium problem for public transport demand estimation
title_full_unstemmed An inverse bilevel equilibrium problem for public transport demand estimation
title_sort An inverse bilevel equilibrium problem for public transport demand estimation
dc.creator.none.fl_str_mv Orlando, Victoria Maria
Baquela, Enrique Gabriel
Bhouri, Neila
Lotito, Pablo Andres
author Orlando, Victoria Maria
author_facet Orlando, Victoria Maria
Baquela, Enrique Gabriel
Bhouri, Neila
Lotito, Pablo Andres
author_role author
author2 Baquela, Enrique Gabriel
Bhouri, Neila
Lotito, Pablo Andres
author2_role author
author
author
dc.subject.none.fl_str_mv TRANSIT ASSIGNMENT
PUBLIC-TRANSPORT DEMAND
BI-LEVEL OPTIMIZATION
SIMULATION
EQUILIBRIUM MODEL
topic TRANSIT ASSIGNMENT
PUBLIC-TRANSPORT DEMAND
BI-LEVEL OPTIMIZATION
SIMULATION
EQUILIBRIUM MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We consider the problem of demand estimation for public transport networks. Given an origin-destination matrix representing the public transport demand, the distribution of flow among different lines can be obtained assuming that it corresponds to a certain equilibrium characterized by an optimization problem. The knowledge of the origin-destination matrix is expensive and sometimes unaffordable in practice. Traditionally, it is estimated using statistical or econometrical considerations. In this work, we explore the estimation through the numerical solution of a bilevel optimization problem. One disadvantage of this formulation is the difficulty of obtaining descent directions, therefore we proposed a derivative-free method for the resolution of the optimization problem. The method is firstly tested on small networks using a derivative-free optimization method and then, using an approach based on simulation. This simulation-optimization methodology showed as good results as analytical modeling, opening the door to handle bigger networks where analytical computation is hard to accomplish.
Fil: Orlando, Victoria Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina
Fil: Baquela, Enrique Gabriel. Universidad Tecnológica Nacional. Facultad Regional San Nicolás; Argentina
Fil: Bhouri, Neila. Universitè Gustave Eiffel; Francia
Fil: Lotito, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina
16th International Federation of Automatic Control Symposium on Control in Transportation Systems
Lille
Francia
International Federation of Automatic Control
description We consider the problem of demand estimation for public transport networks. Given an origin-destination matrix representing the public transport demand, the distribution of flow among different lines can be obtained assuming that it corresponds to a certain equilibrium characterized by an optimization problem. The knowledge of the origin-destination matrix is expensive and sometimes unaffordable in practice. Traditionally, it is estimated using statistical or econometrical considerations. In this work, we explore the estimation through the numerical solution of a bilevel optimization problem. One disadvantage of this formulation is the difficulty of obtaining descent directions, therefore we proposed a derivative-free method for the resolution of the optimization problem. The method is firstly tested on small networks using a derivative-free optimization method and then, using an approach based on simulation. This simulation-optimization methodology showed as good results as analytical modeling, opening the door to handle bigger networks where analytical computation is hard to accomplish.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Simposio
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/11336/236763
An inverse bilevel equilibrium problem for public transport demand estimation; 16th International Federation of Automatic Control Symposium on Control in Transportation Systems; Lille; Francia; 2021; 13-18
2405-8963
CONICET Digital
CONICET
url http://hdl.handle.net/11336/236763
identifier_str_mv An inverse bilevel equilibrium problem for public transport demand estimation; 16th International Federation of Automatic Control Symposium on Control in Transportation Systems; Lille; Francia; 2021; 13-18
2405-8963
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2405896321004304
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ifacol.2021.06.002
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
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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score 12.891075

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