Modelo de comportamiento de conductores y la generación de accidentes de tránsito.

Ilustraciones

Autores:
Arias Rojas, Wilson
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2021
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/80429
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/80429
https://repositorio.unal.edu.co/
Palabra clave:
380 - Comercio , comunicaciones, transporte::388 - Transporte
Conductores de automóviles
Traffic Safety
Seguridad vial
Seguridad vial - Métodos de simulación
Accidentes de tránsito - Métodos de simulación
Machine Learning
Neurosky
Human behavior
Comportamiento humano
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_26cb46c337832ee890886b737b7f464a
oai_identifier_str oai:repositorio.unal.edu.co:unal/80429
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Modelo de comportamiento de conductores y la generación de accidentes de tránsito.
dc.title.translated.eng.fl_str_mv Driver behavior model and the generation of traffic accidents
Driver behavior model and the generation of traffic accidents.
title Modelo de comportamiento de conductores y la generación de accidentes de tránsito.
spellingShingle Modelo de comportamiento de conductores y la generación de accidentes de tránsito.
380 - Comercio , comunicaciones, transporte::388 - Transporte
Conductores de automóviles
Traffic Safety
Seguridad vial
Seguridad vial - Métodos de simulación
Accidentes de tránsito - Métodos de simulación
Machine Learning
Neurosky
Human behavior
Comportamiento humano
title_short Modelo de comportamiento de conductores y la generación de accidentes de tránsito.
title_full Modelo de comportamiento de conductores y la generación de accidentes de tránsito.
title_fullStr Modelo de comportamiento de conductores y la generación de accidentes de tránsito.
title_full_unstemmed Modelo de comportamiento de conductores y la generación de accidentes de tránsito.
title_sort Modelo de comportamiento de conductores y la generación de accidentes de tránsito.
dc.creator.fl_str_mv Arias Rojas, Wilson
dc.contributor.advisor.none.fl_str_mv Córdoba Maquilón, Jorge Eliecer
dc.contributor.author.none.fl_str_mv Arias Rojas, Wilson
dc.contributor.researchgroup.spa.fl_str_mv VIAS Y TRANSPORTE (VITRA)
dc.subject.ddc.spa.fl_str_mv 380 - Comercio , comunicaciones, transporte::388 - Transporte
topic 380 - Comercio , comunicaciones, transporte::388 - Transporte
Conductores de automóviles
Traffic Safety
Seguridad vial
Seguridad vial - Métodos de simulación
Accidentes de tránsito - Métodos de simulación
Machine Learning
Neurosky
Human behavior
Comportamiento humano
dc.subject.other.spa.fl_str_mv Conductores de automóviles
dc.subject.lemb.eng.fl_str_mv Traffic Safety
dc.subject.lemb.spa.fl_str_mv Seguridad vial
Seguridad vial - Métodos de simulación
Accidentes de tránsito - Métodos de simulación
dc.subject.proposal.eng.fl_str_mv Machine Learning
Neurosky
Human behavior
dc.subject.proposal.spa.fl_str_mv Comportamiento humano
description Ilustraciones
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-10-07T20:12:08Z
dc.date.available.none.fl_str_mv 2021-10-07T20:12:08Z
dc.date.issued.none.fl_str_mv 2021
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/80429
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/80429
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 spa
language spa
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spelling Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Córdoba Maquilón, Jorge Eliecer0e25bbac3e2dada8a8ac8f5e7991f37d600Arias Rojas, Wilson7d1ca8a486c71cb38cb1d4f9fea0a01eVIAS Y TRANSPORTE (VITRA)2021-10-07T20:12:08Z2021-10-07T20:12:08Z2021https://repositorio.unal.edu.co/handle/unal/80429Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/IlustracionesEsta investigación doctoral, presenta el resultado del análisis del comportamiento de conductores en un escenario controlado, en un simulador de conducción, en el cual, mediante la medición de ondas cerebrales, se determinó el grado de concentración al conducir y por medio del uso de Machine Learning, se planteó un modelo de comportamiento de los conductores al someterse a un efecto distractor mientras se conduce, el cual permite analizar los factores más relevantes que se reflejan en errores y malas prácticas al momento de conducir. En esta investigación se analizó una muestra poblacional desde los 16 hasta los 90 años, compuesta de hombres y mujeres, a partir de un universo obtenido de una base de datos de fatalidades durante 7 años, se construyó un simulador de conducción con un software para la simulación que permite diferentes escenarios de conducción. Se elaboró un programa de captura de ondas cerebrales el cual midió el grado de concentración de los participantes del experimento mientras eran sometidos al efecto distractor de envío de mensajes de Whatsapp mientras conducían en el escenario escogido. Posteriormente se hizo un análisis de la información obtenida por medio de redes neuronales, obteniendo los resultados del comportamiento de los conductores y errores más comunes durante el experimento, se planteó un modelo de comportamiento de conductores ante los efectos distractores Finalmente se clasificaron conductas riesgosas de conductores al ser sometidas a un efecto distractor, observando el comportamiento de conductores mayores de 50 años, los cuales son más cautelosos ante efectos distractores, y se planteó un modelo matemático que depende del grado de concentración de usuarios y varía de acuerdo con el escenario escogido por cada uno de los participantes del experimento (Texto tomado de la fuente)This doctoral research is the result of the analysis of drivers behavior in a controlled scenario, using a driving simulator, in which, by measuring brain waves, the degree of concentration was measured when driving and through the use of Machine Learning, a model of behavior of drivers was proposed to be subjected to a distracting effect while driving, which allows analyzing the most relevant factors that are reflected in errors and bad practices at the time of driving. In this research was determined a population sample of men and woman whose ages oscillate between 16 to 90 years, composed of men and women, from a universe obtained from a database of fatalities for 7 years. A driving simulator was built, and it was using a software for the simulation that allows different driving scenarios. A brainwave capture program was developed in which the participants' degree of concentration, the experiment, the moment, the effect, the sending factor of the WhatsApp messages were measured, while it was carried out in the chosen scenario. Subsequently, an analysis of the information was made in the neural networks, obtaining the results of the behavior of the drivers and the most common errors in the experiment, A model of behavior of the drivers was presented before the distracting effects. Finally, risk behaviors were classified to be a factor of distraction, observing the behavior of drivers over 50, who are more cautious about the effects of distraction, and a mathematical model was proposed that depends on the degree of concentration of users and according to the scenario chosen by each one of the participants of the experiment.DoctoradoDoctor en IngenieríaPlaneación e infraestructura para el transportexvii, 154 páginasapplication/pdfspaUniversidad Nacional de ColombiaMedellín - Minas - Doctorado en Ingeniería - Ingeniería CivilDepartamento de Ingeniería CivilFacultad de MinasMedellín, ColombiaUniversidad Nacional de Colombia - Sede Medellín380 - Comercio , comunicaciones, transporte::388 - TransporteConductores de automóvilesTraffic SafetySeguridad vialSeguridad vial - Métodos de simulaciónAccidentes de tránsito - Métodos de simulaciónMachine LearningNeuroskyHuman behaviorComportamiento humanoModelo de comportamiento de conductores y la generación de accidentes de tránsito.Driver behavior model and the generation of traffic accidentsDriver behavior model and the generation of traffic accidents.Trabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TDAASHTO. 2004. 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