Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system
Public transit systems are designed to reduce traffic and time on the way people travel. In many stations it is probably to find high agglomeration of passengers, specially awaiting main routes. It is necessary to find the optimal slack in the buses schedule that minimize passengers expected waiting...
- Autores:
-
Ramírez Polo, Luis Eduardo
Medoza Mola, Fred De Jesús
Parody, Alexander
González Solano, Fernando
Castro Bolaño, Lauren Julieth
Jimenez Barros, Miguel Angel
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/3287
- Acceso en línea:
- https://hdl.handle.net/11323/3287
https://repositorio.cuc.edu.co/
- Palabra clave:
- Massive transportation system
Simulation
Transportation
Sistema de transporte masivo
Simulación
Transporte
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
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| dc.title.spa.fl_str_mv |
Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system |
| dc.title.translated.spa.fl_str_mv |
Modelo de simulación para encontrar el tiempo de inactividad para el cronograma de las operaciones de tránsito fuera del horario pico en la terminal principal del sistema de transporte masivo |
| title |
Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system |
| spellingShingle |
Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system Massive transportation system Simulation Transportation Sistema de transporte masivo Simulación Transporte |
| title_short |
Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system |
| title_full |
Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system |
| title_fullStr |
Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system |
| title_full_unstemmed |
Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system |
| title_sort |
Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system |
| dc.creator.fl_str_mv |
Ramírez Polo, Luis Eduardo Medoza Mola, Fred De Jesús Parody, Alexander González Solano, Fernando Castro Bolaño, Lauren Julieth Jimenez Barros, Miguel Angel |
| dc.contributor.author.spa.fl_str_mv |
Ramírez Polo, Luis Eduardo Medoza Mola, Fred De Jesús Parody, Alexander González Solano, Fernando Castro Bolaño, Lauren Julieth Jimenez Barros, Miguel Angel |
| dc.subject.spa.fl_str_mv |
Massive transportation system Simulation Transportation Sistema de transporte masivo Simulación Transporte |
| topic |
Massive transportation system Simulation Transportation Sistema de transporte masivo Simulación Transporte |
| description |
Public transit systems are designed to reduce traffic and time on the way people travel. In many stations it is probably to find high agglomeration of passengers, specially awaiting main routes. It is necessary to find the optimal slack in the buses schedule that minimize passengers expected waiting time or number of waiting passengers. This paper shows the analysis in a bus rapid transit station in Barranquilla-Colombia where different scenarios were analyzed, evaluated which would be the best configuration for inter-arrival times of buses and find the optimal slack in non-rush hour in the main station. |
| publishDate |
2017 |
| dc.date.issued.none.fl_str_mv |
2017-03-03 |
| dc.date.accessioned.none.fl_str_mv |
2019-05-10T16:00:53Z |
| dc.date.available.none.fl_str_mv |
2019-05-10T16:00:53Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
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Text |
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info:eu-repo/semantics/article |
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http://purl.org/redcol/resource_type/ART |
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info:eu-repo/semantics/acceptedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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acceptedVersion |
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07981015 |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/3287 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
07981015 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/3287 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.spa.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International |
| dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
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http://purl.org/coar/access_right/c_abf2 |
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Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.publisher.spa.fl_str_mv |
Universidad De La Costa |
| institution |
Corporación Universidad de la Costa |
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Ramírez Polo, Luis EduardoMedoza Mola, Fred De JesúsParody, AlexanderGonzález Solano, FernandoCastro Bolaño, Lauren JuliethJimenez Barros, Miguel Angel2019-05-10T16:00:53Z2019-05-10T16:00:53Z2017-03-0307981015https://hdl.handle.net/11323/3287Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Public transit systems are designed to reduce traffic and time on the way people travel. In many stations it is probably to find high agglomeration of passengers, specially awaiting main routes. It is necessary to find the optimal slack in the buses schedule that minimize passengers expected waiting time or number of waiting passengers. This paper shows the analysis in a bus rapid transit station in Barranquilla-Colombia where different scenarios were analyzed, evaluated which would be the best configuration for inter-arrival times of buses and find the optimal slack in non-rush hour in the main station.Los sistemas de transporte público están diseñados para reducir el tráfico y el tiempo en la forma en que las personas viajan. En muchas estaciones es probable encontrar una alta aglomeración de pasajeros, especialmente en espera de las rutas principales. Es necesario encontrar la holgura óptima en el horario de los autobuses que minimice el tiempo de espera esperado de los pasajeros o la cantidad de pasajeros que esperan. Este documento muestra el análisis en una estación de tránsito rápido de autobuses en Barranquilla, Colombia, donde se analizaron diferentes escenarios, se evaluó cuál sería la mejor configuración para los tiempos de llegada entre autobuses y se encuentra la holgura óptima en horas no pico en la estación principal.Ramírez Polo, Luis Eduardo-7fce1ede-7116-4600-b855-6e3e0a07f1b5-0Medoza Mola, Fred De Jesús-adb468ae-0762-4ddf-9194-53c2e9a1aeef-0Parody, Alexander-d4c60c43-64a2-466b-8114-ad27a6900a33-0González Solano, Fernando-9c47d787-70f2-442d-9bac-785ebf685db0-0Castro Bolaño, Lauren Julieth-ea0d196f-64ea-400b-90a1-135e08081814-0Jimenez Barros, Miguel Angel-0000-0002-8038-7297-600engUniversidad De La CostaAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Massive transportation systemSimulationTransportationSistema de transporte masivoSimulaciónTransporteSimulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport systemModelo de simulación para encontrar el tiempo de inactividad para el cronograma de las operaciones de tránsito fuera del horario pico en la terminal principal del sistema de transporte masivoArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALSimulation model to find the slack time for schedule of the transit.pdfSimulation model to find the slack time for schedule of the transit.pdfapplication/pdf180059https://repositorio.cuc.edu.co/bitstreams/3a5564c8-ac11-441c-93f2-6a1d41272b01/downloadbde14ac9c88f6c33e0385038966caf5eMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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