Freight-Transit tour synthesis

ilustraciones, diagramnas

Autores:
Moreno Palacio, Diana Patricia
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2023
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
eng
OAI Identifier:
oai:repositorio.unal.edu.co:unal/85092
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/85092
https://repositorio.unal.edu.co/
Palabra clave:
620 - Ingeniería y operaciones afines::624 - Ingeniería civil
Transporte de carga
Freight services
Transporte de pasajeros
Transportation-passengers traffic
Entropy
Freight Transportation
Freight Tour Synthesis
Transit Tour Synthesis
Fuzzy Logic
Sioux Falls Network
Freight and Transit Tour Synthesis
Entropía
Transporte de carga
Síntesis de toures de carga
Síntesis de toures de buses
Síntesis de toures de carga y buses
Lógica difusa
Red de Sioux Falls
Rights
openAccess
License
Reconocimiento 4.0 Internacional
id UNACIONAL2_5f93ed662c8d996df0fe85ba48b31a62
oai_identifier_str oai:repositorio.unal.edu.co:unal/85092
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.eng.fl_str_mv Freight-Transit tour synthesis
dc.title.translated.spa.fl_str_mv Síntesis de toures de carga y de buses de transporte público
title Freight-Transit tour synthesis
spellingShingle Freight-Transit tour synthesis
620 - Ingeniería y operaciones afines::624 - Ingeniería civil
Transporte de carga
Freight services
Transporte de pasajeros
Transportation-passengers traffic
Entropy
Freight Transportation
Freight Tour Synthesis
Transit Tour Synthesis
Fuzzy Logic
Sioux Falls Network
Freight and Transit Tour Synthesis
Entropía
Transporte de carga
Síntesis de toures de carga
Síntesis de toures de buses
Síntesis de toures de carga y buses
Lógica difusa
Red de Sioux Falls
title_short Freight-Transit tour synthesis
title_full Freight-Transit tour synthesis
title_fullStr Freight-Transit tour synthesis
title_full_unstemmed Freight-Transit tour synthesis
title_sort Freight-Transit tour synthesis
dc.creator.fl_str_mv Moreno Palacio, Diana Patricia
dc.contributor.advisor.none.fl_str_mv González-Calderón, Carlos Alberto
Posada Henao, John Jairo
López-Ospina, Héctor Andrés
dc.contributor.author.none.fl_str_mv Moreno Palacio, Diana Patricia
dc.contributor.researchgroup.spa.fl_str_mv Vias y Transporte (Vitra)
dc.contributor.orcid.spa.fl_str_mv https://orcid.org/my-orcid?orcid=0000-0002-9697-7646
Moreno Palacio, Diana Patricia [0000-0002-9697-7646]
dc.contributor.cvlac.spa.fl_str_mv MORENO PALACIO, DIANA PATRICIA
dc.contributor.scopus.spa.fl_str_mv https://www.scopus.com/authid/detail.uri?authorId=57199156747
Moreno Palacio, Diana Patricia [57199156747]
dc.contributor.researchgate.spa.fl_str_mv https://www.researchgate.net/profile/Diana-Patricia-Moreno-Palacio
Moreno Palacio, Diana Patricia [Diana-Patricia-Moreno-Palacio]
dc.contributor.googlescholar.spa.fl_str_mv https://scholar.google.com/citations?user=eXCDGeIAAAAJ&hl=en
Moreno Palacio, Diana Patricia [eXCDGeIAAAAJ&hl=en]
dc.subject.ddc.spa.fl_str_mv 620 - Ingeniería y operaciones afines::624 - Ingeniería civil
topic 620 - Ingeniería y operaciones afines::624 - Ingeniería civil
Transporte de carga
Freight services
Transporte de pasajeros
Transportation-passengers traffic
Entropy
Freight Transportation
Freight Tour Synthesis
Transit Tour Synthesis
Fuzzy Logic
Sioux Falls Network
Freight and Transit Tour Synthesis
Entropía
Transporte de carga
Síntesis de toures de carga
Síntesis de toures de buses
Síntesis de toures de carga y buses
Lógica difusa
Red de Sioux Falls
dc.subject.lemb.none.fl_str_mv Transporte de carga
Freight services
Transporte de pasajeros
Transportation-passengers traffic
dc.subject.proposal.eng.fl_str_mv Entropy
Freight Transportation
Freight Tour Synthesis
Transit Tour Synthesis
Fuzzy Logic
Sioux Falls Network
Freight and Transit Tour Synthesis
dc.subject.proposal.spa.fl_str_mv Entropía
Transporte de carga
Síntesis de toures de carga
Síntesis de toures de buses
Síntesis de toures de carga y buses
Lógica difusa
Red de Sioux Falls
description ilustraciones, diagramnas
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-12-13T19:52:30Z
dc.date.available.none.fl_str_mv 2023-12-13T19:52:30Z
dc.date.issued.none.fl_str_mv 2023-12
dc.type.spa.fl_str_mv Trabajo de grado - Doctorado
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/doctoralThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TD
format http://purl.org/coar/resource_type/c_db06
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/85092
dc.identifier.instname.spa.fl_str_mv Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv https://repositorio.unal.edu.co/
url https://repositorio.unal.edu.co/handle/unal/85092
https://repositorio.unal.edu.co/
identifier_str_mv Universidad Nacional de Colombia
Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.indexed.spa.fl_str_mv RedCol
LaReferencia
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spelling Reconocimiento 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2González-Calderón, Carlos Alberto99ac3a8e7401fe03f0484989c7c4a6e2Posada Henao, John Jairo5549b8463c907bc1e6c224c4159518c2López-Ospina, Héctor Andrésfdb7e8e940faddb8e6723030de895570Moreno Palacio, Diana Patricia8032696c13104665ff35e99b83286f91Vias y Transporte (Vitra)https://orcid.org/my-orcid?orcid=0000-0002-9697-7646Moreno Palacio, Diana Patricia [0000-0002-9697-7646]MORENO PALACIO, DIANA PATRICIAhttps://www.scopus.com/authid/detail.uri?authorId=57199156747Moreno Palacio, Diana Patricia [57199156747]https://www.researchgate.net/profile/Diana-Patricia-Moreno-PalacioMoreno Palacio, Diana Patricia [Diana-Patricia-Moreno-Palacio]https://scholar.google.com/citations?user=eXCDGeIAAAAJ&hl=enMoreno Palacio, Diana Patricia [eXCDGeIAAAAJ&hl=en]2023-12-13T19:52:30Z2023-12-13T19:52:30Z2023-12https://repositorio.unal.edu.co/handle/unal/85092Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramnasThis research introduces a multi-class demand synthesis model for transit and freight, utilizing entropy maximization and fuzzy logic. The model incorporates traffic data and fuzzy parameters to accommodate uncertainty. The use of fuzzy logic enhances classical modeling by providing flexibility and addressing data uncertainty, a critical aspect in resource-constrained decision-making scenarios. Finite resources such as road capacity necessitate optimal decision-making. Flexible models are essential, as not all constraints can be fully met. Fuzzy logic excels in handling variability and uncertainty, improving results' reliability. It aids in estimating congestion patterns, emissions levels, and accidents, thereby providing valuable insights to decision-makers. Fuzzy logic's flexibility is crucial for real-world adaptability. It enhances transportation planning, benefiting urban mobility. Results' accuracy directly impacts decisions, and fuzzy logic incorporates real-world variability into models. The research focuses on triangular membership functions, a commonly used approach. Fuzzy logic's adaptability is compared with deterministic models, demonstrating superior performance. It helps in finding satisfactory solutions when full constraint satisfaction is unfeasible. Pareto frontiers indicate multi-objective optimization. Decision-makers can use this frontier to choose the right model based on accomplishment versus entropy trade-offs. Fuzzy logic accommodates partial solutions when strict constraints cannot be met. Trials with a developed model show that capacity and cost significantly influence outcomes. Sensitivity analyses reveal the model's robustness. The model's application is promising for shared lanes and infrastructure optimization, handling data variability and uncertainty. It aids in decision-making for urban transportation planning and infrastructure development. Government agencies must strategize mobility elements. Accurate data are crucial for decisions related to routes, traffic management, and infrastructure. Fuzzy logic can guide decisions about shared lanes and resource allocation, enhancing urban transportation planning and development.Esta investigación presenta un modelo de síntesis de demanda multiclase para tránsito y carga, utilizando maximización de entropía y lógica difusa. El modelo incorpora datos de tráfico y parámetros difusos para adaptarse a la incertidumbre. El uso de la lógica difusa mejora el modelado clásico al proporcionar flexibilidad y abordar la incertidumbre de los datos, un aspecto crítico en escenarios de toma de decisiones con recursos limitados. Los recursos finitos, como la capacidad de las vías, requieren una toma de decisiones óptima. Los modelos flexibles son esenciales, ya que no todas las restricciones pueden cumplirse por completo. La lógica difusa se destaca en el manejo de la variabilidad y la incertidumbre, mejorando la confiabilidad de los resultados. Ayuda a estimar los patrones de congestión, los niveles de emisiones y los accidentes, proporcionando así información valiosa a los responsables de la toma de decisiones. La flexibilidad de la lógica difusa es crucial para la adaptabilidad al mundo real. Mejora la planificación del transporte, beneficiando la movilidad urbana. La precisión de los resultados impacta directamente en las decisiones, y la lógica difusa incorpora la variabilidad del mundo real en los modelos. La investigación se centra en las funciones de pertenencia triangulares, un enfoque de uso común. La adaptabilidad de la lógica difusa se compara con modelos deterministas, lo que demuestra un rendimiento superior. Ayuda a encontrar soluciones satisfactorias cuando la satisfacción total de la restricción es inviable. Las fronteras de Pareto indican optimización multiobjetivo. Los tomadores de decisiones pueden usar esta frontera para elegir el modelo correcto en función de las compensaciones entre logros y entropía. La lógica difusa acomoda soluciones parciales cuando no se pueden cumplir restricciones estrictas. Los ensayos con el modelo desarrollado muestran que la capacidad y el costo influyen significativamente en los resultados. Los análisis de sensibilidad revelan la solidez del modelo. La aplicación del modelo es una alternativa prometedora en el uso de infraestructura compartida (carriles y bahías) y la optimización de la misma, al incluir la variabilidad e incertidumbre de los datos, pudiendo ser de ayuda en la toma de decisiones para la planificación del transporte urbano y el desarrollo de infraestructura. Las agencias gubernamentales deben diseñar estrategias para los elementos de movilidad. Los datos precisos son cruciales para las decisiones relacionadas con las rutas, la gestión del tráfico y la infraestructura. La lógica difusa puede guiar las decisiones sobre carriles compartidos y asignación de recursos, mejorando la planificación y el desarrollo del transporte urbano. 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Fuzzy Sets and Systems, 1(1), 45–55. https://doi.org/10.1016/0165-0114(78)90031-3EstudiantesInvestigadoresMaestrosResponsables políticosLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/85092/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL43203448.2023.pdf43203448.2023.pdfTesis de Doctorado en Ingeniería Civilapplication/pdf2411460https://repositorio.unal.edu.co/bitstream/unal/85092/2/43203448.2023.pdf5167269cd353f34d42e5f5410b00f3c6MD52THUMBNAIL43203448.2023.pdf.jpg43203448.2023.pdf.jpgGenerated Thumbnailimage/jpeg3988https://repositorio.unal.edu.co/bitstream/unal/85092/3/43203448.2023.pdf.jpge2aea9161aafd3195e6f8ac92137902fMD53unal/85092oai:repositorio.unal.edu.co:unal/850922023-12-13 23:04:00.269Repositorio Institucional Universidad Nacional de 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