Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera
Los sistemas inteligentes de transporte (SIT) permiten optimizar el uso de la infraestructura existente incrementando el control, la efectividad, la eficiencia y la seguridad de los sistemas y la infraestructura de transporte, con el fin de gestionar la creciente demanda de movilidad [1]. Para desar...
- Autores:
-
Molina Martínez, Juan Danilo
Acuña Olivar, Brayan Ferney
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2022
- Institución:
- Universidad Autónoma de Bucaramanga - UNAB
- Repositorio:
- Repositorio UNAB
- Idioma:
- spa
- OAI Identifier:
- oai:repository.unab.edu.co:20.500.12749/16806
- Acceso en línea:
- http://hdl.handle.net/20.500.12749/16806
- Palabra clave:
- Mechatronic
Micro trip fuel based method
Driving styles
Driving cycles
On-board diagnostics
Road safety
Ground transportation
Electronic data processing
Automobiles
Mecatrónica
Seguridad vial
Transporte terrestre
Procesamiento electrónico de datos
Automóviles
Estilos de conducción
Ciclos de conducción
Diagnóstico a bordo
- Rights
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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| dc.title.spa.fl_str_mv |
Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera |
| dc.title.translated.spa.fl_str_mv |
Classification of driving styles in the metropolitan area of Bucaramanga with on-board monitoring (OBD II) in real road condition |
| title |
Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera |
| spellingShingle |
Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera Mechatronic Micro trip fuel based method Driving styles Driving cycles On-board diagnostics Road safety Ground transportation Electronic data processing Automobiles Mecatrónica Seguridad vial Transporte terrestre Procesamiento electrónico de datos Automóviles Estilos de conducción Ciclos de conducción Diagnóstico a bordo |
| title_short |
Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera |
| title_full |
Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera |
| title_fullStr |
Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera |
| title_full_unstemmed |
Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera |
| title_sort |
Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera |
| dc.creator.fl_str_mv |
Molina Martínez, Juan Danilo Acuña Olivar, Brayan Ferney |
| dc.contributor.advisor.none.fl_str_mv |
Maradey Lázaro, Jessica Gissella Huertas Cardozo, José Ignacio |
| dc.contributor.author.none.fl_str_mv |
Molina Martínez, Juan Danilo Acuña Olivar, Brayan Ferney |
| dc.contributor.cvlac.spa.fl_str_mv |
Maradey Lázaro, Jessica Gissella [0000040553] Huertas Cardozo, José Ignacio [0000057398] |
| dc.contributor.googlescholar.spa.fl_str_mv |
Huertas Cardozo, José Ignacio [es&oi=ao] |
| dc.contributor.orcid.spa.fl_str_mv |
Maradey Lázaro, Jessica Gissella [0000-0003-2319-1965] Huertas Cardozo, José Ignacio [0000-0003-4508-6453] |
| dc.contributor.researchgate.spa.fl_str_mv |
Maradey Lázaro, Jessica Gissella [profile/Jessica-Maradey-Lazaro] |
| dc.subject.keywords.spa.fl_str_mv |
Mechatronic Micro trip fuel based method Driving styles Driving cycles On-board diagnostics Road safety Ground transportation Electronic data processing Automobiles |
| topic |
Mechatronic Micro trip fuel based method Driving styles Driving cycles On-board diagnostics Road safety Ground transportation Electronic data processing Automobiles Mecatrónica Seguridad vial Transporte terrestre Procesamiento electrónico de datos Automóviles Estilos de conducción Ciclos de conducción Diagnóstico a bordo |
| dc.subject.lemb.spa.fl_str_mv |
Mecatrónica Seguridad vial Transporte terrestre Procesamiento electrónico de datos Automóviles |
| dc.subject.proposal.spa.fl_str_mv |
Estilos de conducción Ciclos de conducción Diagnóstico a bordo |
| description |
Los sistemas inteligentes de transporte (SIT) permiten optimizar el uso de la infraestructura existente incrementando el control, la efectividad, la eficiencia y la seguridad de los sistemas y la infraestructura de transporte, con el fin de gestionar la creciente demanda de movilidad [1]. Para desarrollar SIT eficaces es muy importante realizar campañas de monitoreo en condiciones reales de carretera que permitan la recolección de datos que describen el patrón de conducción de una región de interés. En el proyecto desarrollado se implementó un sistema de monitoreo a bordo (OBD II) con conexión a bluetooth en una muestra de 16 vehículos adquiriendo datos durante los meses de agosto a diciembre del año 2021 creando una base de datos para el área metropolitana de Bucaramanga con la que se describió el patrón de conducción a partir de tres conceptos, ciclos de conducción, diagramas de distribución de la frecuencia de velocidad- aceleración y la potencia específica del vehículo. También se abordó el tema de estilos de conducción a partir de los métodos de aceleración y del Jerk siendo este otro elemento que permite conocer más sobre los hábitos de conducción de los conductores de la región estudiada. El ciclo desarrollado se construyó con el método Micro Trips Fuel Based (MTFBM) alcanzando una similitud <15% de las diferencias relativas promedio de los parámetros característicos del 68.75%, mientras que el SAFD y el VSP indicaron que las personas conducían en la región a velocidades y aceleraciones bajas, debido a la alta densidad de tráfico. Con los estilos de conducción se validó que un estilo de conducción agresivo aumenta el consumo de combustible en más del 20%. |
| publishDate |
2022 |
| dc.date.accessioned.none.fl_str_mv |
2022-06-28T18:53:13Z |
| dc.date.available.none.fl_str_mv |
2022-06-28T18:53:13Z |
| dc.date.issued.none.fl_str_mv |
2022-05-31 |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
| dc.type.local.spa.fl_str_mv |
Trabajo de Grado |
| dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
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http://purl.org/redcol/resource_type/TP |
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http://purl.org/coar/resource_type/c_7a1f |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12749/16806 |
| dc.identifier.instname.spa.fl_str_mv |
instname:Universidad Autónoma de Bucaramanga - UNAB |
| dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional UNAB |
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repourl:https://repository.unab.edu.co |
| url |
http://hdl.handle.net/20.500.12749/16806 |
| identifier_str_mv |
instname:Universidad Autónoma de Bucaramanga - UNAB reponame:Repositorio Institucional UNAB repourl:https://repository.unab.edu.co |
| dc.language.iso.spa.fl_str_mv |
spa |
| language |
spa |
| dc.relation.references.spa.fl_str_mv |
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http://creativecommons.org/licenses/by-nc-nd/2.5/co/ Abierto (Texto Completo) Atribución-NoComercial-SinDerivadas 2.5 Colombia http://purl.org/coar/access_right/c_abf2 |
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application/pdf |
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Bucaramanga (Santander, Colombia) |
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Universidad Autónoma de Bucaramanga UNAB |
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Facultad Ingeniería |
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Pregrado Ingeniería Mecatrónica |
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Universidad Autónoma de Bucaramanga - UNAB |
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Maradey Lázaro, Jessica Gissellad6570851-23e5-44e4-8c29-fd312d351b94Huertas Cardozo, José Ignacio17418668-38f4-44e4-87f6-3705d87a6144Molina Martínez, Juan Danilo66a36440-49ff-4e4a-8278-d30e81324f6eAcuña Olivar, Brayan Ferney0f1d7958-b392-4d21-bd55-c02e8feaaedaMaradey Lázaro, Jessica Gissella [0000040553]Huertas Cardozo, José Ignacio [0000057398]Huertas Cardozo, José Ignacio [es&oi=ao]Maradey Lázaro, Jessica Gissella [0000-0003-2319-1965]Huertas Cardozo, José Ignacio [0000-0003-4508-6453]Maradey Lázaro, Jessica Gissella [profile/Jessica-Maradey-Lazaro]Bucaramanga (Santander, Colombia)2022-06-28T18:53:13Z2022-06-28T18:53:13Z2022-05-31http://hdl.handle.net/20.500.12749/16806instname:Universidad Autónoma de Bucaramanga - UNABreponame:Repositorio Institucional UNABrepourl:https://repository.unab.edu.coLos sistemas inteligentes de transporte (SIT) permiten optimizar el uso de la infraestructura existente incrementando el control, la efectividad, la eficiencia y la seguridad de los sistemas y la infraestructura de transporte, con el fin de gestionar la creciente demanda de movilidad [1]. Para desarrollar SIT eficaces es muy importante realizar campañas de monitoreo en condiciones reales de carretera que permitan la recolección de datos que describen el patrón de conducción de una región de interés. En el proyecto desarrollado se implementó un sistema de monitoreo a bordo (OBD II) con conexión a bluetooth en una muestra de 16 vehículos adquiriendo datos durante los meses de agosto a diciembre del año 2021 creando una base de datos para el área metropolitana de Bucaramanga con la que se describió el patrón de conducción a partir de tres conceptos, ciclos de conducción, diagramas de distribución de la frecuencia de velocidad- aceleración y la potencia específica del vehículo. También se abordó el tema de estilos de conducción a partir de los métodos de aceleración y del Jerk siendo este otro elemento que permite conocer más sobre los hábitos de conducción de los conductores de la región estudiada. El ciclo desarrollado se construyó con el método Micro Trips Fuel Based (MTFBM) alcanzando una similitud <15% de las diferencias relativas promedio de los parámetros característicos del 68.75%, mientras que el SAFD y el VSP indicaron que las personas conducían en la región a velocidades y aceleraciones bajas, debido a la alta densidad de tráfico. Con los estilos de conducción se validó que un estilo de conducción agresivo aumenta el consumo de combustible en más del 20%.1. INTRODUCCIÓN ...................................................................................................... 13 1.1 DESCRIPCIÓN DEL PROBLEMA .................................................................... 13 1.2 JUSTIFICACIÓN DEL PROBLEMA .................................................................. 14 1.3 OBJETIVOS ...................................................................................................... 15 1.3.2 Objetivos específicos .................................................................................. 15 2. MARCO TEÓRICO ................................................................................................... 16 2.1 ESTILOS DE CONDUCCIÓN ............................................................................ 16 2.1.1 Definición del estilo de conducción .................................................................. 16 2.1.1 Clasificación de estilos de conducción ............................................................. 17 2.1.2 Importancia de los estilos de conducción ................................................... 18 2.1.3 Factores que influyen en los estilos de conducción .................................... 18 2.1.4 Instrumentación utilizada para la adquisición de datos ............................... 19 2.1.5 Métodos para la clasificación de estilos de conducción. ............................. 20 2.2 CICLOS DE CONDUCCIÓN .............................................................................. 21 2.2.1 Definición de ciclos de conducción .................................................................. 21 2.2.1 Tipos de ciclos de conducción ......................................................................... 22 2.2.2 Métodos para el desarrollo de ciclos de conducción ................................... 24 2.2.3 Metodología base para la construcción de ciclos de conducción. ............... 26 3. ESTADO DEL ARTE ................................................................................................ 27 3.1 ESTILOS DE CONDUCCIÓN ............................................................................ 27 3.2 CICLOS DE CONDUCCIÓN .............................................................................. 31 4. METODOLOGÍA ...................................................................................................... 34 4.1 CAMPAÑA DE MONITOREO ........................................................................... 35 4.1.1 Ruta seleccionada ...................................................................................... 35 4.1.2 Datos técnicos de los vehículos monitoreados ........................................... 36 4.1.3 Datos sociodemográficos de los conductores ............................................. 37 4.1.4 Variables monitoreadas .............................................................................. 38 4.2 SISTEMA DE MONITOREO IMPLEMENTADO ................................................ 38 4.2.1 Sistema de adquisición de datos ................................................................ 39 4.2.2 Tipo de conectividad para el envío de información ..................................... 41 4.2.3 Registrador de datos .................................................................................. 43 4.2.4 Almacenamiento de datos en la nube ......................................................... 46 4.3 ADQUISICIÓN DE DATOS ............................................................................... 47 4.4 ELIMINACIÓN DE DATOS ATÍPICOS .............................................................. 48 4.5 REGISTRO DE DATOS EN LA NUBE .............................................................. 50 4.6 METODOLOGÍA APLICADA PARA LA CLASIFICACIÓN DE ESTILOS DE CONDUCCIÓN ............................................................................................................ 50 4.6.1 Selección de las características para la clasificación de los estilos de conducción ............................................................................................................... 51 4.6.2 Segmentación del tipo de carretera ............................................................ 54 4.6.3 Identificación de los rangos intercuartílicos ................................................. 54 4.6.4 Método de la aceleración para la clasificación de estilos de conducción .... 55 4.6.5 Método del Jerk para la clasificación de estilos de conducción ................... 56 4.6.6 Construcción del algoritmo desarrollado ..................................................... 56 4.7 MÉTODO APLICADO PARA LA CONSTRUCCIÓN DEL CICLO DE CONDUCCIÓN ............................................................................................................ 57 4.7.1 Método micro-trips fuel based method (MTFBM) ........................................ 57 4.7.2 Selección de los parámetros característicos ............................................... 58 4.7.3 Ecuaciones para el cálculo de los parámetros característicos .................... 58 4.7.4 Cálculos de los parámetros característicos de los datos monitoreados ...... 60 4.7.5 Obtención de los micro viajes ..................................................................... 61 4.7.6 Clúster y distribución de probabilidad ......................................................... 61 4.7.7 Selección cuasi aleatoria y empalme de los micro viajes ............................ 62 4.7.8 Validación del ciclo de conducción ............................................................. 62 4.8 POTENCIA ESPECÍFICA DEL VEHÍCULO (VSP) ............................................ 65 4.8.1 Proceso de obtención de las variables para calcular el VSP....................... 66 4.9 DISTRIBUCIÓN DE FRECUENCIA DE VELOCIDAD-ACELERACIÓN (SAFD) 67 4.9.1 Proceso de obtención del diagrama SAFD ................................................. 67 5. RESULTADOS Y ANÁLISIS DE DATOS ................................................................. 68 5.1 BASE DE DATOS PROYECTO ACTUAL 2022 ................................................ 68 5.2 BASE DE DATOS CONCATENADA (PROYECTO 2021 Y 2022) .................... 69 5.3 CICLOS DE CONDUCCIÓN OBTENIDOS, MUESTRA DE 16 Y 26 VEHÍCULOS 70 5.3.1 Parámetros característicos y diferencias relativas .......................................... 72 5.4 ANÁLISIS DE LA POTENCIA ESPECIFICA DEL VEHÍCULO ......................... 73 5.5 ANÁLISIS DE LOS DIAGRAMAS SAFD .......................................................... 75 5.5.1 Análisis de la variable de velocidad en los diagramas SAFD ...................... 75 5.5.2 Análisis de la variable de aceleración en los diagramas SAFD ................... 76 5.5.3 Análisis del diagrama SAFD de forma generalizada ................................... 77 5.6 CLASIFICACIÓN DE ESTILOS DE CONDUCCIÓN MUESTRA DE 16 VEHÍCULOS ................................................................................................................ 78 5.6.1 Clasificación de estilos de conducción base de datos general .................... 78 5.6.2 Correlación del consumo de combustible y los estilos de conducción ........ 80 5.6.3 Consumo de combustible por tipo de carretera........................................... 81 5.7 CLASIFICACIÓN DE ESTILOS DE CONDUCCIÓN POR CONDUCTOR ......... 81 5.7.1 Clasificación de estilos de conducción por conductor ................................. 82 5.7.2 Correlación del consumo de combustible y los estilos de conducción ........ 84 5.7.3 Clasificación de los estilos de conducción por conductor y correlación de la edad. 85 5.7.4 Correlación del consumo de combustible y los estilos de conducción por cada conductor. ........................................................................................................ 86 6. VALIDACIÓN Y COMPARACIÓN DEL CICLO DE CONDUCCIÓN ......................... 87 6.1 COMPARACIÓN DE LOS PARÁMETROS CARACTERÍSTICOS ......................... 87 6.1.1 Comparación con los ciclos de conducción desarrollados en Bucaramanga .. 88 6.1.2 Comparación con los ciclos de conducción desarrollados para la homologación........................................................................................................... 88 6.2 VALIDACIÓN DE LOS CICLOS DE CONDUCCIÓN......................................... 91 6.2.1 Validación del ciclo de conducción a partir de la diferencia relativa promedio 91 7. CONCLUSIONES ..................................................................................................... 93 8. RECOMENDACIONES Y TRABAJOS A FUTURO .................................................. 95 BIBLIOGRAFÍA ................................................................................................................ 96 9. ANEXOS ................................................................................................................ 103PregradoIntelligent transport systems (ITS) allow optimizing the use of existing infrastructure by increasing the control, effectiveness, efficiency and safety of transport systems and infrastructure, in order to manage the growing demand for mobility [1] . To develop effective SITs, it is very important to carry out monitoring campaigns in real road conditions that allow the collection of data that describe the driving pattern of a region of interest. In the developed project, an on-board monitoring system (OBD II) with bluetooth connection was implemented in a sample of 16 vehicles, acquiring data during the months of August to December of the year 2021, creating a database for the metropolitan area of Bucaramanga with which described the driving pattern from three concepts, driving cycles, speed-acceleration frequency distribution diagrams and the specific power of the vehicle. The issue of driving styles was also addressed based on acceleration and Jerk methods, this being another element that allows us to learn more about the driving habits of drivers in the region studied. The developed cycle was built with the Micro Trips Fuel Based (MTFBM) method, reaching a similarity <15% of the average relative differences of the characteristic parameters of 68.75%, while the SAFD and the VSP indicated that people drove in the region at low speeds and accelerations, due to the high density of traffic. With the driving styles it was validated that an aggressive driving style increases fuel consumption by more than 20%.application/pdfspahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)Atribución-NoComercial-SinDerivadas 2.5 Colombiahttp://purl.org/coar/access_right/c_abf2Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carreteraClassification of driving styles in the metropolitan area of Bucaramanga with on-board monitoring (OBD II) in real road conditionIngeniero MecatrónicoUniversidad Autónoma de Bucaramanga UNABFacultad IngenieríaPregrado Ingeniería Mecatrónicainfo:eu-repo/semantics/bachelorThesisTrabajo de Gradohttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/redcol/resource_type/TPMechatronicMicro trip fuel based methodDriving stylesDriving cyclesOn-board diagnosticsRoad safetyGround transportationElectronic data processingAutomobilesMecatrónicaSeguridad vialTransporte terrestreProcesamiento electrónico de datosAutomóvilesEstilos de conducciónCiclos de conducciónDiagnóstico a bordo[1] GSD+, «Esquema de implantación de tecnologías inteligentes de transporte en América Latina: estudios de casos y recomendaciones.,» 2018[2] Vanguardia, «Vanguardia,» 16 Julio 2019. 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Acuña Olivar, Clasificación de estilos de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera, Bucaramanga: Universidad Autónoma de Bucaramanga, 2022ORIGINAL2022_Tesis_Juan_Danilo_Molina_Martinez.pdf2022_Tesis_Juan_Danilo_Molina_Martinez.pdfTesisapplication/pdf6612045https://repository.unab.edu.co/bitstream/20.500.12749/16806/1/2022_Tesis_Juan_Danilo_Molina_Martinez.pdfa61172c1e34f7547091b9f72d577c99fMD51open access2022_Licencia_Juan_Danilo_Molina_Martinez.pdf2022_Licencia_Juan_Danilo_Molina_Martinez.pdfLicenciaapplication/pdf298821https://repository.unab.edu.co/bitstream/20.500.12749/16806/2/2022_Licencia_Juan_Danilo_Molina_Martinez.pdff78ab13ee69dd99a86a496374e635f5fMD52metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-8829https://repository.unab.edu.co/bitstream/20.500.12749/16806/3/license.txt3755c0cfdb77e29f2b9125d7a45dd316MD53open accessTHUMBNAIL2022_Tesis_Juan_Danilo_Molina_Martinez.pdf.jpg2022_Tesis_Juan_Danilo_Molina_Martinez.pdf.jpgIM Thumbnailimage/jpeg4784https://repository.unab.edu.co/bitstream/20.500.12749/16806/4/2022_Tesis_Juan_Danilo_Molina_Martinez.pdf.jpgd25e4b410e946eef754c1ff5adfc1037MD54open access2022_Licencia_Juan_Danilo_Molina_Martinez.pdf.jpg2022_Licencia_Juan_Danilo_Molina_Martinez.pdf.jpgIM Thumbnailimage/jpeg10035https://repository.unab.edu.co/bitstream/20.500.12749/16806/5/2022_Licencia_Juan_Danilo_Molina_Martinez.pdf.jpg6c277dc46dc56a66a5183a0c094ce2d2MD55metadata only access20.500.12749/16806oai:repository.unab.edu.co:20.500.12749/168062022-06-28 22:00:29.488open accessRepositorio Institucional | Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.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 |