Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation

Bus Rapid Transit (BRT) systems are spreading fast around the globe as an urban transportation alternative to more traditional rail-based systems. Once the BRT system is operational, its success depends to a large extent on the routes offered to the passengers. The Bus Rapid Transit Route Design Pro...

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Autores:
González, Jaime E.
Lozano, Leonardo
Walteros, Jose Luis
Feillet, Dominique
Medaglia, Andrés L.
Tipo de recurso:
Work document
Fecha de publicación:
2012
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/31221
Acceso en línea:
http://hdl.handle.net/1992/31221
Palabra clave:
Bus rapid transit systems
Urban transportation
Transit network design
Bus routing
Simultaneous column and cut generation
Large-scale optimization
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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oai_identifier_str oai:repositorio.uniandes.edu.co:1992/31221
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network_name_str Séneca: repositorio Uniandes
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dc.title.es_CO.fl_str_mv Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation
title Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation
spellingShingle Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation
Bus rapid transit systems
Urban transportation
Transit network design
Bus routing
Simultaneous column and cut generation
Large-scale optimization
title_short Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation
title_full Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation
title_fullStr Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation
title_full_unstemmed Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation
title_sort Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation
dc.creator.fl_str_mv González, Jaime E.
Lozano, Leonardo
Walteros, Jose Luis
Feillet, Dominique
Medaglia, Andrés L.
dc.contributor.author.none.fl_str_mv González, Jaime E.
Lozano, Leonardo
Walteros, Jose Luis
Feillet, Dominique
Medaglia, Andrés L.
dc.subject.keyword.es_CO.fl_str_mv Bus rapid transit systems
Urban transportation
Transit network design
Bus routing
Simultaneous column and cut generation
Large-scale optimization
topic Bus rapid transit systems
Urban transportation
Transit network design
Bus routing
Simultaneous column and cut generation
Large-scale optimization
description Bus Rapid Transit (BRT) systems are spreading fast around the globe as an urban transportation alternative to more traditional rail-based systems. Once the BRT system is operational, its success depends to a large extent on the routes offered to the passengers. The Bus Rapid Transit Route Design Problem (BRTRDP) consists of finding a set of routes that minimizes the passenger cost (i.e., travel time), while simultaneously satisfying the demands for trips, the capacity of the infrastructure (e.g., lane capacities), and the bus operators' constraints (e.g., number of buses). We propose a mathematical formulation for the BRTRDP with an underlying network structure. In this network-oriented formulation, the large number of possible routes has a direct impact on the number of variables and constraints; hence, we propose a route-generation scheme that takes advantage of simultaneous column and cut generation. Our approach compares favorably against the state-of-the-art on instances from the literature and tackles more realistic topologies of BRT systems.
publishDate 2012
dc.date.issued.none.fl_str_mv 2012-06-30
dc.date.accessioned.none.fl_str_mv 2019-10-05T17:00:43Z
dc.date.available.none.fl_str_mv 2019-10-05T17:00:43Z
dc.type.spa.fl_str_mv Documento de trabajo
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dc.format.extent.es_CO.fl_str_mv 27
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dc.coverage.spatial.es_CO.fl_str_mv Bogotá, Colombia
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2González, Jaime E.ed9a5d0f-ad9d-46e1-9df1-27960d349dde600Lozano, Leonardo2ba829bb-1890-4b7d-a263-bd31aeda9e9d600Walteros, Jose Luise96e3dd7-1b24-455c-96e3-e9a17020b91a600Feillet, Dominiquecc8b9751-1c6b-455d-8430-d108e56942a0600Medaglia, Andrés L.d783ecde-0cd6-4a75-85f4-e21b72cdcc51600Bogotá, Colombia2019-10-05T17:00:43Z2019-10-05T17:00:43Z2012-06-30http://hdl.handle.net/1992/31221instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Bus Rapid Transit (BRT) systems are spreading fast around the globe as an urban transportation alternative to more traditional rail-based systems. Once the BRT system is operational, its success depends to a large extent on the routes offered to the passengers. The Bus Rapid Transit Route Design Problem (BRTRDP) consists of finding a set of routes that minimizes the passenger cost (i.e., travel time), while simultaneously satisfying the demands for trips, the capacity of the infrastructure (e.g., lane capacities), and the bus operators' constraints (e.g., number of buses). We propose a mathematical formulation for the BRTRDP with an underlying network structure. In this network-oriented formulation, the large number of possible routes has a direct impact on the number of variables and constraints; hence, we propose a route-generation scheme that takes advantage of simultaneous column and cut generation. Our approach compares favorably against the state-of-the-art on instances from the literature and tackles more realistic topologies of BRT systems.27application/pdfenginstname:Universidad de los Andesreponame:SénecaSolving the bus rapid transit route design problem with general topologies via simultaneous column and cut generationDocumento de trabajosubmittedVersioninfo:eu-repo/semantics/workingPaperhttp://purl.org/coar/resource_type/c_8042http://purl.org/coar/version/c_71e4c1898caa6e32http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttps://purl.org/redcol/resource_type/WPBus rapid transit systemsUrban transportationTransit network designBus routingSimultaneous column and cut generationLarge-scale optimizationPublicationORIGINALSolving the bus rapid transit route design.pdfSolving the bus rapid transit route design.pdfSolving the bus rapid transit route designapplication/pdf617393https://repositorio.uniandes.edu.co/bitstreams/ebada92e-41c1-4234-a878-8b47b799f762/downloadafc54fd218adada2294b01809cade40dMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81865https://repositorio.uniandes.edu.co/bitstreams/11baa371-ede3-4399-8ab4-f06fb1bb8c21/download3712501b71477eef138f931c5a7aac67MD52TEXTSolving the bus rapid transit route design.pdf.txtSolving the bus rapid transit route design.pdf.txtExtracted texttext/plain58943https://repositorio.uniandes.edu.co/bitstreams/0f5a9ee1-7cbc-4ebf-b6c0-f6ace8a086a6/downloada568a8606af147b16fd658fd0ac5a644MD56THUMBNAILSolving the bus rapid transit route design.pdf.jpgSolving the bus rapid transit route design.pdf.jpgIM Thumbnailimage/jpeg11143https://repositorio.uniandes.edu.co/bitstreams/feb39334-1030-413b-b51d-224853efe6f5/download99e4ced69870a3d72cf27c90699a492fMD571992/31221oai:repositorio.uniandes.edu.co:1992/312212023-10-10 16:57:35.241https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.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