Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment
- Autores:
-
Ortiz-Fajardo, Willintonn-Fidel
Collazos-Ordoñez, Cesar-Alberto
Constain-Moreno, Gustavo-Eduardo
Solis-Pino, Andrés-Felipe
Sturm, Christian
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2026
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/22071
- Acceso en línea:
- https://repositorio.uptc.edu.co/handle/001/22071
https://doi.org/10.19053/uptc.01211129.v35.n75.2026.20968
- Palabra clave:
- Autonomous vehicles
Data sovereignty
Driving style characterization
Intelligent transportation systems
Road infrastructure
Systematic review
Caracterización del estilo de conducción
Infraestructura vial
Revisión sistemática
Sistemas inteligentes de transporte
Soberanía de datos
Vehículos autónomos
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0
| id |
REPOUPTC2_c2c7934d43e3999aa401f985ae7121a1 |
|---|---|
| oai_identifier_str |
oai:repositorio.uptc.edu.co:001/22071 |
| network_acronym_str |
REPOUPTC2 |
| network_name_str |
RiUPTC: Repositorio Institucional UPTC |
| repository_id_str |
|
| dc.title.en-US.fl_str_mv |
Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment |
| title |
Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment |
| spellingShingle |
Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment Autonomous vehicles Data sovereignty Driving style characterization Intelligent transportation systems Road infrastructure Systematic review Caracterización del estilo de conducción Infraestructura vial Revisión sistemática Sistemas inteligentes de transporte Soberanía de datos Vehículos autónomos |
| title_short |
Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment |
| title_full |
Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment |
| title_fullStr |
Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment |
| title_full_unstemmed |
Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment |
| title_sort |
Characterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle Deployment |
| dc.creator.fl_str_mv |
Ortiz-Fajardo, Willintonn-Fidel Collazos-Ordoñez, Cesar-Alberto Constain-Moreno, Gustavo-Eduardo Solis-Pino, Andrés-Felipe Sturm, Christian |
| dc.contributor.author.eng.fl_str_mv |
Ortiz-Fajardo, Willintonn-Fidel Collazos-Ordoñez, Cesar-Alberto Constain-Moreno, Gustavo-Eduardo Solis-Pino, Andrés-Felipe Sturm, Christian |
| dc.subject.none.fl_str_mv |
Autonomous vehicles Data sovereignty Driving style characterization Intelligent transportation systems Road infrastructure Systematic review Caracterización del estilo de conducción Infraestructura vial Revisión sistemática Sistemas inteligentes de transporte Soberanía de datos Vehículos autónomos |
| topic |
Autonomous vehicles Data sovereignty Driving style characterization Intelligent transportation systems Road infrastructure Systematic review Caracterización del estilo de conducción Infraestructura vial Revisión sistemática Sistemas inteligentes de transporte Soberanía de datos Vehículos autónomos |
| publishDate |
2026 |
| dc.date.accessioned.none.fl_str_mv |
2026-04-02 07:26:14 2026-06-12T15:53:35Z |
| dc.date.available.none.fl_str_mv |
2026-04-02 07:26:14 |
| dc.date.issued.none.fl_str_mv |
2026-04-02 |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.eng.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.driver.eng.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.local.eng.fl_str_mv |
Journal article |
| dc.type.version.eng.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.content.eng.fl_str_mv |
Text |
| dc.type.coarversion.eng.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
publishedVersion |
| dc.identifier.issn.none.fl_str_mv |
0121-1129 |
| dc.identifier.uri.none.fl_str_mv |
https://repositorio.uptc.edu.co/handle/001/22071 |
| dc.identifier.doi.none.fl_str_mv |
10.19053/uptc.01211129.v35.n75.2026.20968 |
| dc.identifier.eissn.none.fl_str_mv |
2357-5328 |
| dc.identifier.url.none.fl_str_mv |
https://doi.org/10.19053/uptc.01211129.v35.n75.2026.20968 |
| identifier_str_mv |
0121-1129 10.19053/uptc.01211129.v35.n75.2026.20968 2357-5328 |
| url |
https://repositorio.uptc.edu.co/handle/001/22071 https://doi.org/10.19053/uptc.01211129.v35.n75.2026.20968 |
| dc.language.iso.eng.fl_str_mv |
eng |
| language |
eng |
| dc.relation.references.eng.fl_str_mv |
A. F. Torres-Camargo, M. Á. Galindo-Romero, Estrategia de mitigación de accidentalidad en intersecciones urbanas a nivel, empleando dispositivos de alerta con sensores. Estudio de caso de la carrera 20, desde la avenida calle 63 hasta la calle 64, Grade Thesis, Universidad Católica de Colombia, 2022. https://hdl.handle.net/10983/30574 S. P. Castro Molinares, J. I. Ruiz Pérez, “Actitudes protectoras relacionadas con la seguridad vial en conductores de Villavicencio (Colombia),” Diversitas: Perspectivas en Psicología, vol. 17, no. 2, pp. 4-19, Dec. 2021. https://doi.org/10.15332/22563067.7070 R. Hussain, S. Zeadally, “Autonomous Cars: Research Results, Issues, and Future Challenges,” IEEE Communications Surveys and Tutorials, vol. 21, no. 2, pp. 1275-1313, 2019. https://doi.org/10.1109/COMST.2018.2869360 D. M. Cades, C. Crump, B. D. Lester, D. Young, “Driver Distraction and Advanced Vehicle Assistive Systems (ADAS): Investigating Effects on Driver Behavior,” in Advances in Human Aspects of Transportation, N. A. Stanton, S. Landry, G. Di Bucchianico, and A. Vallicelli, Eds., Cham: Springer International Publishing, 2017, pp. 1015-1022. https://doi.org/10.1007/978-3-319-41682-3_83 P. Koopman, M. Wagner, “Autonomous Vehicle Safety: An Interdisciplinary Challenge,” IEEE Intelligent Transportation Systems Magazine, vol. 9, no. 1, pp. 90-96, 2017. https://doi.org/10.1109/MITS.2016.2583491 R. Vázquez, C. Torre, J. Marighetti, S. Gramajo, A. R. Sánchez, “Detección de Carriles en Vías no Señalizadas mediante LIDAR y Deep Learning para Mejorar la Seguridad Vial,” Memorias de las JAIIO, vol. 10, no. 11, pp. 44-52, Oct. 2024. https://ojs.sadio.org.ar/index.php/JAIIO/article/view/1050 A. M. M. Malagón, La responsabilidad civil por el uso de la Inteligencia Artificial en vehículos autónomos en México, Ph. D. Dissertation, Universidad Autónoma del Estado de Morelos, México, 2023. https://riaa.uaem.mx/xmlui/handle/20.500.12055/3914 K. C. Vieira, V. de C. Alcântara, I. Nicolaï, A. Grützmann, T. A. de Souza, “Innovation, technology and society: a study of the controversies around autonomous vehicles in Brazil and France,” Revista Gestão & Tecnologia, vol. 24, no. 1, pp. 167-190, Apr. 2024. https://doi.org/10.20397/2177-6652/2024.v24i1.2516 R. Lozano, M. José, The understanding of autonomous vehicles in Colombia, Ph. D. Dissertation, Universidad de Los Andes, Colombia, 2023. https://hdl.handle.net/1992/64373 R. Leegstra et al., “MACÁBOT: Prototipo de Vehículo Autónomo de Superficie (ASV),” Revista Tecnología y Ciencia, vol. 20, no. 4, e154, Oct. 2019. https://doi.org/10.33414/rtyc.36.142-154.2019 C. Navas, R. Mix Vidal, Primer piloto de vehículo autónomo en Latinoamérica, Master Thesis, Inter-American Development Bank, Chile, 2021. https://doi.org/10.18235/0003766 A. Aksjonov, P. Nedoma, V. Vodovozov, E. Petlenkov, M. Herrmann, “A method of driver distraction evaluation using fuzzy logic: Phone usage as a driver’s secondary activity: Case study,” in XXVI International Conference on Information, Communication and Automation Technologies (ICAT), Czech Republic, Oct. 2017, pp. 1-6. https://doi.org/10.1109/ICAT.2017.8171599 C. G. Quintero, R. Medina, A. Tapia, “Drivers Characterization based on a Signal Analysis of Vehicle Telemetry,” IEEE Latin America Transactions, vol. 15, no. 10, pp. 1840-1846, Oct. 2017. https://doi.org/10.1109/TLA.2017.8071225 J. Ortega, M. Ortega, K. Ismael, J. Ortega, S. Moslem, “Systematic review of overtaking maneuvers with autonomous vehicles,” Transportation Engineering, vol. 17, e100264, Sep. 2024. https://doi.org/10.1016/j.treng.2024.100264 M. Adnan, G. Slavic, D. Martin Gomez, L. Marcenaro, C. Regazzoni, “Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications,” Sensors, vol. 23, no. 13, e6119, Jan. 2023. https://doi.org/10.3390/s23136119 D. Carrizo, C. Moller, D. Carrizo, C. Moller, “Estructuras metodológicas de revisiones sistemáticas de literatura en Ingeniería de Software: un estudio de mapeo sistemático,” Ingeniare: Revista Chilena de Ingeniería, vol. 26, pp. 45-54, Nov. 2018. https://doi.org/10.4067/S0718-33052018000500045 A. Sharma, Y. Ali, M. Saifuzzaman, Z. Zheng, Md. M. Haque, “Human Factors in Modelling Mixed Traffic of Traditional, Connected, and Automated Vehicles,” in Advances in Human Factors in Simulation and Modeling, D. N. Cassenti, Ed., Cham: Springer International Publishing, 2018, pp. 262-273. https://doi.org/10.1007/978-3-319-60591-3_24 N. Zamora Fandino, O. L. Barrera Reyes, Diagnosis of current road infraestructure in Colombia, Master Thesis, Universidad EAN,Colombia, 2012. http://hdl.handle.net/10882/3405 N. M. Torregroza Vargas, Evaluación de los efectos de la fatiga laboral en la seguridad vial: el caso del transporte de carga en Colombia, Master Thesis, Universidad de Los Andes, Colombia, 2012. L. Mercep, Context-Centric Design of Automotive Human-Machine Interfaces, Ph. D. Dissertation, Technische Universität München, Germany, 2014. https://mediatum.ub.tum.de/1185409 A. Y. Gasparyan et al., “Specialist Bibliographic Databases,” Journal of Korean Medical Science, vol. 31, no. 5, pp. 660-673, Feb. 2016. https://doi.org/10.3346/jkms.2016.31.5.660 J. M. Muñoz Cantero, E. M. Espiñeira Bellón, N. Rebollo-Quintela, “Las píldoras formativas: diseño y desarrollo de un modelo de evaluación en el Espacio Europeo de Educación Superior,” Revista de investigación en educación, vol. 14, no. 2, pp. 156-169, 2016. https://revistas.uvigo.es/index.php/reined/article/view/2084 D. Giustini, M. N. K. Boulos, “Google Scholar is not enough to be used alone for systematic reviews,” Online Journal of Public Health Informatics, vol. 5, no. 2, e61265, Jun. 2013. https://doi.org/10.5210/ojphi.v5i2.4623 P. A.-W. Harzing, The Publish or Perish Book, 1st ed., Melbourne, Australia: Tarma Software Research, 2013. https://harzing.com/publications/publish-or-perish-book/pdf E. Morales, “Utilización de Zotero como gestor bibliográfico web en estudiantes universitarios,” La Ciencia al Servicio de la salud y la nutrición, vol. 10, no. 1, pp. 397-405, Jul. 2019. F. J. García-Peñalvo, “Mapping sistemáticos de literatura. Caso práctico de planificación usando Parsifal,” Investigación en InterAcción y eLearning, vol. 1, no. 1, e0169690, Dec. 2017. https://doi.org/10.5281/zenodo.1069690 A. Haro Sarango, E. R. Chisag Pallmay, J. P. Ruiz Sarzosa, J. E. Caicedo Pozo, “Tipos y clasificación de las investigaciones,” Latam: revista latinoamericana de Ciencias Sociales y Humanidades, vol. 5, no. 2, e39, 2024. https://doi.org/10.56712/latam.v5i2.1927 J. F. Fernández Joya, Estilos de conducción de automóviles. Reconocimiento automático usando los sensores de los smartphones, Master Thesis, Politecnico Grancolombiano, Colombia, 2021. https://alejandria.poligran.edu.co/handle/10823/7119 H. Alghodhaifi, S. Lakshmanan, “Autonomous Vehicle Evaluation: A Comprehensive Survey on Modeling and Simulation Approaches,” IEEE Access, vol. 9, pp. 151531-151566, 2021. https://doi.org/10.1109/ACCESS.2021.3125620 L. Fridman et al., “MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation,” IEEE Access, vol. 7, pp. 102021-102038, 2019. https://doi.org/10.1109/ACCESS.2019.2926040 A. Zhou, Y. Liu, E. Tenenboim, S. Agrawal, S. Peeta, “Car-Following Behavior of Human-Driven Vehicles in Mixed-Flow Traffic: A Driving Simulator Study,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 4, pp. 2661-2673, Apr. 2023. https://doi.org/10.1109/TIV.2023.3257962 A. P. Bolduc, L. Guo, Y. Jia, “Multimodel Approach to Personalized Autonomous Adaptive Cruise Control,” IEEE Transactions on Intelligent Vehicles, vol. 4, no. 2, pp. 321-330, Jun. 2019. https://doi.org/10.1109/TIV.2019.2904419 S. Hernández Sánchez, Deep neural networks for vehicle driving characterization by means of smartphone sensors, Ph. D. Dissertation, Universidad Politecnica de Madrid, Spain, 2020. https://oa.upm.es/65646/ S. Hernández Sánchez, R. Fernández Pozo, L. A. Hernández Gómez, “Deep Neural Networks for Driver Identification Using Accelerometer Signals from Smartphones,” in Business Information Systems, W. Abramowicz and R. Corchuelo, Eds., Cham: Springer International Publishing, 2019, pp. 206-220. https://doi.org/10.1007/978-3-030-20482-2_17 A. El Khatib, C. Ou, F. Karray, “Driver Inattention Detection in the Context of Next-Generation Autonomous Vehicles Design: A Survey,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 11, pp. 4483-4496, Nov. 2020. https://doi.org/10.1109/TITS.2019.2940874 M. Witt, K. Kompaß, L. Wang, R. Kates, M. Mai, G. Prokop, “Driver profiling – Data-based identification of driver behavior dimensions and affecting driver characteristics for multi-agent traffic simulation,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 64, pp. 361-376, Jul. 2019, https://doi.org/10.1016/j.trf.2019.05.007 J. H. L. Hansen, C. Busso, Y. Zheng, A. Sathyanarayana, “Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed,” IEEE Signal Processing Magazine, vol. 34, no. 4, pp. 130-142, Jul. 2017, https://doi.org/10.1109/MSP.2017.2699039 C. Ryan, F. Murphy, M. Mullins, “End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 3, pp. 1650-1662, Mar. 2021. https://doi.org/10.1109/TITS.2020.2975043 P. G. Mastrokostas et al., “A step-by-step guide for designing systematic reviews in spine surgery: a narrative review,” Journal of Spine Surgery, vol. 11, no. 3, pp. 666-677, Sep. 2025. https://doi.org/10.21037/jss-25-48 C. Collet, O. Musicant, “Associating Vehicles Automation with Drivers Functional State Assessment Systems: A Challenge for Road Safety in the Future,” Frontiers in Human Neuroscience, vol. 13, no. 1, pp. 1-18, Apr. 2019. https://doi.org/10.3389/fnhum.2019.00131 W. Sun et al., “Online distraction detection for naturalistic driving dataset using kinematic motion models and a multiple model algorithm,” Transportation Research Part C: Emerging Technologies, vol. 130, e103317, Sep. 2021. https://doi.org/10.1016/j.trc.2021.103317 A. Halin, J. G. Verly, M. Van Droogenbroeck, “Survey and Synthesis of State of the Art in Driver Monitoring,” Sensors, vol. 21, no. 16, e5558, Jan. 2021. https://doi.org/10.3390/s21165558 F. M. Favarò, S. O. Eurich, S. S. Rizvi, “‘Human’ Problems in Semi-Autonomous Vehicles: Understanding Drivers’ Reactions to Off-Nominal Scenarios,” International Journal of Human–Computer Interaction, vol. 35, no. 11, pp. 956-971, Jul. 2019. https://doi.org/10.1080/10447318.2018.1561784 L. Buckley, S.-A. Kaye, A. K. Pradhan, “Psychosocial factors associated with intended use of automated vehicles: A simulated driving study,” Accident Analysis and Prevention, vol. 115, pp. 202-208, Jun. 2018. https://doi.org/10.1016/j.aap.2018.03.021 C. Rengifo, J.-R. Chardonnet, H. Mohellebi, D. Paillot, A. Kemeny, “Driving simulator study of the relationship between motion strategy preference and self-reported driving behavior,” Simulation, vol. 97, no. 9, pp. 619-633, Sep. 2021. https://doi.org/10.1177/0037549721999716 B. S. Gamboa, A. Acosta, A. Arcia-Moret, “Analysiso of transport traffic in a satellite network,” Revista Colombiana de Tecnologías de Avanzada, vol. 2, e18, 2011. F. J. Bonilla-Escobar et al., “Driving under the influence of alcohol in Cali, Colombia: prevalence and consumption patterns, 2013,” International Journal of Injury Control and Safety Promotion, vol. 23, no. 2, pp. 179-188, Apr. 2016. https://doi.org/10.1080/17457300.2014.966120 A. Kashevnik, R. Shchedrin, C. Kaiser, A. Stocker, “Driver Distraction Detection Methods: A Literature Review and Framework,” IEEE Access, vol. 9, pp. 60063-60076, 2021. https://doi.org/10.1109/ACCESS.2021.3073599 J. D. M. Martínez, B. F. A. Olivar, Clasificación de estilo de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera, Master Thesis, Universidad Autónoma de Bucaramanga, Colombia, 2024. http://hdl.handle.net/20.500.12749/16806 D. J. Keeling, “Latin America’s Transportation Conundrum,” Journal of Latin American Geography, vol. 7, no. 2, pp. 133-154, 2008. R. Barrales Guadarrama, Monitorización de los parámetros climáticos y medioambientales relacionado con el tráfico de vehículos. Sensores climáticos y medioambientales inalámbricos para sistemas inteligentes de transporte, Ph. D. Dissertation, Universitat Politècnica de València, Spain, 2016. https://doi.org/10.4995/Thesis/10251/63276 J. M. Ramírez Zárate, Inferencia del enfoque visual de conductores a través de sensores inerciales montados en la cabeza, Ph. D. Dissertation, Universidad Autónoma de Baja California, México, 2021. https://hdl.handle.net/20.500.12930/8127 I. Jegham, A. Ben Khalifa, I. Alouani, M. A. Mahjoub, “A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD,” Signal Processing: Image Communication, vol. 88, e115960, Oct. 2020. https://doi.org/10.1016/j.image.2020.115960 R. L. McCarthy, “Autonomous Vehicle Accident Data Analysis: California OL 316 Reports: 2015–2020,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, vol. 8, no. 034502, Sep. 2021. https://doi.org/10.1115/1.4051779. D. I. Tselentis, E. Papadimitriou, “Driver Profile and Driving Pattern Recognition for Road Safety Assessment: Main Challenges and Future Directions,” IEEE Open Journal of Intelligent Transportation Systems, vol. 4, pp. 83-100, 2023. https://doi.org/10.1109/OJITS.2023.3237177 L. Alonso Rentería, J. M. Pérez Oria, M. J. Ibarra Arenado, J. A. Arce Hernando, M. Fernández Moreno, C. Rodríguez González, “Control de crucero adaptativo para tráfico urbano basado en sensores ultrasónicos,” in XXX Jornadas de Automática, Spain, 2009, p. 104. F. Viadero Monasterio, Diseño de sistemas de automatización de la conducción basados en control robusto para la mejora de la seguridad y el confort en vehículos automóviles, Ph. D. Dissertation, Universidad Carlos III de Madrid, Spain, 2023. https://hdl.handle.net/10016/38048 R. Krstačić, A. Žužić, T. Orehovački, “Safety Aspects of In-Vehicle Infotainment Systems: A Systematic Literature Review from 2012 to 2023,” Electronics, vol. 13, no. 13, e2563, Jan. 2024. https://doi.org/10.3390/electronics13132563 R. Ezzati Amini et al., “Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance,” Accident Analysis and Prevention, vol. 191, e107195, Oct. 2023. https://doi.org/10.1016/j.aap.2023.107195 E. M. Vera, J. S. Armenta, L. P. Hernández-Vidal, M. D. Rodríguez, H. López-Nava, S. García-Pérez, “Uso de plataforma de videojuegos de conducción para analizar el desempeño visual de los conductores: estudio piloto,” in IEEE Mexican International Conference on Computer Science (ENC), Aug. 2022, pp. 1-7. https://doi.org/10.1109/ENC56672.2022.9882935 U. Fugiglando et al., “Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 2, pp. 737-748, Feb. 2019. https://doi.org/10.1109/TITS.2018.2836308 M. F. Becerra Aravena, Sistema inalámbrico para transmisión de señales de audio con mínima latencia, Master Thesis, Universidad de Chile, Chile, 2016. https://repositorio.uchile.cl/handle/2250/139435 J. Balsa Barreiro, Aplicación de sistemas GNSS y SIG a infraestructuras de transporte: estudio sobre la conducción naturalista, Master Thesis, Universidade da Coruña, Spain, 2015. https://dialnet.unirioja.es/servlet/tesis?codigo=44203 A. Gupta, A. Anpalagan, L. Guan, A. S. Khwaja, “Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues,” Array, vol. 10, pp. 100-157, Jul. 2021. https://doi.org/10.1016/j.array.2021.100057 K. Yu, L. Lin, M. Alazab, L. Tan, B. Gu, “Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 7, pp. 4337-4347, Jul. 2021. https://doi.org/10.1109/TITS.2020.3042504 J. M. Scanlon, K. D. Kusano, T. Daniel, C. Alderson, A. Ogle, T. Victor, “Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain,” Accident Analysis and Prevention, vol. 163, e106454, Dec. 2021. https://doi.org/10.1016/j.aap.2021.106454 J. A. Borboa Griego, Sistema De Telemetria Con Conectividad WIFI y GPRS De Los Datos Obtenidos Por Interfas OBDII y Ubicacion Vehicular (GPS), Master Thesis, Tecnológico Nacional de México, Mexico, 2018. https://rinacional.tecnm.mx/jspui/handle/TecNM/5145 M. Martin et al., “Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles,” in IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 2019, pp. 2801-2810. https://doi.org/10.1109/ICCV.2019.00289 W. Xiang, Y. Zhang, X. Pan, X. Liu, G. Xu, “Analysis of coping capacities and cognitive biases of novice drivers—A questionnaire-based study,” PLOS ONE, vol. 19, no. 2, pp. 1279-1288, Feb. 2024. https://doi.org/10.1371/journal.pone.0297763 C. F. F. Valero, C. P. Puerta, J. M. Rodríguez, L. K. Ariza, R. A. González, “Análisis multicausal de ‘accidentes’ de tránsito en dos ciudades de Colombia,” Archivos de Medicina (Manizales), vol. 18, no. 1, e1, Jun. 2018. https://doi.org/10.30554/archmed.18.1.2477.2018 H. V. Koay, J. H. Chuah, C.-O. Chow, Y.-L. Chang, “Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021),” Engineering Applications of Artificial Intelligence, vol. 115, e105309, Oct. 2022. https://doi.org/10.1016/j.engappai.2022.105309 G. Yang, M. M. Ahmed, B. Subedi, “Distraction of Connected Vehicle Human–Machine Interface for Truck Drivers,” Transportation Research Record, vol. 2674, no. 9, pp. 438-449, Sep. 2020. https://doi.org/10.1177/0361198120929692 J. Guo, U. Kurup, M. Shah, Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving, 2018, https://doi.org/10.48550/arXiv.1811.11277 M. T. Rahman, K. Dey, S. Das, M. Sherfinski, “Sharing the road with autonomous vehicles: A qualitative analysis of the perceptions of pedestrians and bicyclists,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 78, pp. 433-445, Apr. 2021. https://doi.org/10.1016/j.trf.2021.03.008 C. Gote, M. Flad, S. Hohmann, “Driver characterization & driver specific trajectory planning: an inverse optimal control approach,” in IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, USA, Oct. 2014, pp. 3014-3021. https://doi.org/10.1109/SMC.2014.6974389 X. Zhao, W. Xu, J. Ma, H. Li, Y. Chen, “An analysis of the relationship between driver characteristics and driving safety using structural equation models,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 62, pp. 529-545, Apr. 2019, https://doi.org/10.1016/j.trf.2019.02.004 J. Ryu, J. C. Gerdes, “Integrating Inertial Sensors with Global Positioning System (GPS) for Vehicle Dynamics Control,” Journal of Dynamic Systems, Measurement, and Control, vol. 126, no. 2, pp. 243-254, Aug. 2004. https://doi.org/10.1115/1.1766026 Z. F. Syed, P. Aggarwal, X. Niu, N. El-Sheimy, “Civilian Vehicle Navigation: Required Alignment of the Inertial Sensors for Acceptable Navigation Accuracies,” IEEE Transactions on Vehicular Technology, vol. 57, no. 6, pp. 3402-3412, Nov. 2008. https://doi.org/10.1109/TVT.2008.921616 N. El-Sheimy, A. Youssef, “Inertial sensors technologies for navigation applications: state of the art and future trends,” Satellite Navigation, vol. 1, no. 1, e2, Jan. 2020. https://doi.org/10.1186/s43020-019-0001-5 Z. Luo et al., “MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization,” IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 5129-5141, Oct. 2018. https://doi.org/10.1109/TIP.2018.2848705 R. Xu et al., “V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seul, China, 2023, pp. 13712-13722. https://openaccess.thecvf.com/content/CVPR2023/html/Xu_V2V4Real_A_Real-World_Large-Scale_Dataset_for_Vehicle-to-Vehicle_Cooperative_Perception_CVPR_2023_paper.html S. Feng, Y. Feng, C. Yu, Y. Zhang, H. X. Liu, “Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 3, pp. 1573-1582, Mar. 2021. https://doi.org/10.1109/TITS.2020.2972211 D. Choi, T. Sato, T. Ando, T. Abe, M. Akamatsu, S. Kitazaki, “Effects of cognitive and visual loads on driving performance after take-over request (TOR) in automated driving,” Applied Ergonomics, vol. 85, e103074, May 2020. https://doi.org/10.1016/j.apergo.2020.103074 M. Alghuson, K. Abdelghany, A. Hassan, “Toward an integrated traffic law enforcement and network management in connected vehicle environment: Conceptual model and survey study of public acceptance,” Accident Analysis and Prevention, vol. 133, e105300, Dec. 2019. https://doi.org/10.1016/j.aap.2019.105300 L. Romera Gómez, Benchmarking de herramientas de gestión de datos de prueba, Master Thesis, Universidad Politecnica de Madrid, Spain, 2023. https://oa.upm.es/75145/ J. A. Khan, D.-W. Lim, Y.-S. Kim, “A Deep Learning-Based IDS for Automotive Theft Detection for In-Vehicle CAN Bus,” IEEE Access, vol. 11, pp. 112814-112829, 2023. https://doi.org/10.1109/ACCESS.2023.3323891 |
| dc.relation.citationendpage.none.fl_str_mv |
e20968 |
| dc.relation.citationissue.eng.fl_str_mv |
75 |
| dc.relation.citationstartpage.none.fl_str_mv |
e20968 |
| dc.relation.citationvolume.eng.fl_str_mv |
35 |
| dc.relation.ispartofjournal.eng.fl_str_mv |
Revista Facultad de Ingeniería |
| dc.relation.bitstream.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ingenieria/article/download/20968/17130 |
| dc.relation.citationedition.eng.fl_str_mv |
Núm. 75 , Año 2026 : January-March 2026 (Continuos Publication) |
| dc.rights.uri.eng.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 |
| dc.rights.accessrights.eng.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.creativecommons.eng.fl_str_mv |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
| dc.rights.coar.eng.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.mimetype.eng.fl_str_mv |
application/pdf |
| dc.publisher.eng.fl_str_mv |
Universidad Pedagógica y Tecnológica de Colombia |
| dc.source.eng.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/20968 |
| institution |
Universidad Pedagógica y Tecnológica de Colombia |
| bitstream.url.fl_str_mv |
https://repositorio.uptc.edu.co/bitstreams/4fed76a9-ba0d-49a6-8c56-910e4ff90efe/download |
| bitstream.checksum.fl_str_mv |
3d730a135b1c56c8f88e5c2264331f62 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional UPTC |
| repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
| _version_ |
1881673896939225088 |
| spelling |
Ortiz-Fajardo, Willintonn-FidelCollazos-Ordoñez, Cesar-AlbertoConstain-Moreno, Gustavo-EduardoSolis-Pino, Andrés-FelipeSturm, Christian2026-04-02 07:26:142026-06-12T15:53:35Z2026-04-02 07:26:142026-04-020121-1129https://repositorio.uptc.edu.co/handle/001/2207110.19053/uptc.01211129.v35.n75.2026.209682357-5328https://doi.org/10.19053/uptc.01211129.v35.n75.2026.20968application/pdfengUniversidad Pedagógica y Tecnológica de ColombiaWillintonn-Fidel Ortiz-Fajardo, Cesar-Alberto Collazos-Ordoñez, Gustavo-Eduardo Constain-Moreno, Andrés-Felipe Solis-Pino, Christian Sturm - 2026https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ingenieria/article/view/20968Autonomous vehiclesData sovereigntyDriving style characterizationIntelligent transportation systemsRoad infrastructureSystematic reviewCaracterización del estilo de conducciónInfraestructura vialRevisión sistemáticaSistemas inteligentes de transporteSoberanía de datosVehículos autónomosCharacterizing the Latin American Driver: A Systematic Review of Behavioral and Infrastructural Challenges for Autonomous Vehicle DeploymentArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85A. F. Torres-Camargo, M. Á. Galindo-Romero, Estrategia de mitigación de accidentalidad en intersecciones urbanas a nivel, empleando dispositivos de alerta con sensores. Estudio de caso de la carrera 20, desde la avenida calle 63 hasta la calle 64, Grade Thesis, Universidad Católica de Colombia, 2022. https://hdl.handle.net/10983/30574S. P. Castro Molinares, J. I. Ruiz Pérez, “Actitudes protectoras relacionadas con la seguridad vial en conductores de Villavicencio (Colombia),” Diversitas: Perspectivas en Psicología, vol. 17, no. 2, pp. 4-19, Dec. 2021. https://doi.org/10.15332/22563067.7070R. Hussain, S. Zeadally, “Autonomous Cars: Research Results, Issues, and Future Challenges,” IEEE Communications Surveys and Tutorials, vol. 21, no. 2, pp. 1275-1313, 2019. https://doi.org/10.1109/COMST.2018.2869360D. M. Cades, C. Crump, B. D. Lester, D. Young, “Driver Distraction and Advanced Vehicle Assistive Systems (ADAS): Investigating Effects on Driver Behavior,” in Advances in Human Aspects of Transportation, N. A. Stanton, S. Landry, G. Di Bucchianico, and A. Vallicelli, Eds., Cham: Springer International Publishing, 2017, pp. 1015-1022. https://doi.org/10.1007/978-3-319-41682-3_83P. Koopman, M. Wagner, “Autonomous Vehicle Safety: An Interdisciplinary Challenge,” IEEE Intelligent Transportation Systems Magazine, vol. 9, no. 1, pp. 90-96, 2017. https://doi.org/10.1109/MITS.2016.2583491R. Vázquez, C. Torre, J. Marighetti, S. Gramajo, A. R. Sánchez, “Detección de Carriles en Vías no Señalizadas mediante LIDAR y Deep Learning para Mejorar la Seguridad Vial,” Memorias de las JAIIO, vol. 10, no. 11, pp. 44-52, Oct. 2024. https://ojs.sadio.org.ar/index.php/JAIIO/article/view/1050A. M. M. Malagón, La responsabilidad civil por el uso de la Inteligencia Artificial en vehículos autónomos en México, Ph. D. Dissertation, Universidad Autónoma del Estado de Morelos, México, 2023. https://riaa.uaem.mx/xmlui/handle/20.500.12055/3914K. C. Vieira, V. de C. Alcântara, I. Nicolaï, A. Grützmann, T. A. de Souza, “Innovation, technology and society: a study of the controversies around autonomous vehicles in Brazil and France,” Revista Gestão & Tecnologia, vol. 24, no. 1, pp. 167-190, Apr. 2024. https://doi.org/10.20397/2177-6652/2024.v24i1.2516R. Lozano, M. José, The understanding of autonomous vehicles in Colombia, Ph. D. Dissertation, Universidad de Los Andes, Colombia, 2023. https://hdl.handle.net/1992/64373R. Leegstra et al., “MACÁBOT: Prototipo de Vehículo Autónomo de Superficie (ASV),” Revista Tecnología y Ciencia, vol. 20, no. 4, e154, Oct. 2019. https://doi.org/10.33414/rtyc.36.142-154.2019C. Navas, R. Mix Vidal, Primer piloto de vehículo autónomo en Latinoamérica, Master Thesis, Inter-American Development Bank, Chile, 2021. https://doi.org/10.18235/0003766A. Aksjonov, P. Nedoma, V. Vodovozov, E. Petlenkov, M. Herrmann, “A method of driver distraction evaluation using fuzzy logic: Phone usage as a driver’s secondary activity: Case study,” in XXVI International Conference on Information, Communication and Automation Technologies (ICAT), Czech Republic, Oct. 2017, pp. 1-6. https://doi.org/10.1109/ICAT.2017.8171599C. G. Quintero, R. Medina, A. Tapia, “Drivers Characterization based on a Signal Analysis of Vehicle Telemetry,” IEEE Latin America Transactions, vol. 15, no. 10, pp. 1840-1846, Oct. 2017. https://doi.org/10.1109/TLA.2017.8071225J. Ortega, M. Ortega, K. Ismael, J. Ortega, S. Moslem, “Systematic review of overtaking maneuvers with autonomous vehicles,” Transportation Engineering, vol. 17, e100264, Sep. 2024. https://doi.org/10.1016/j.treng.2024.100264M. Adnan, G. Slavic, D. Martin Gomez, L. Marcenaro, C. Regazzoni, “Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications,” Sensors, vol. 23, no. 13, e6119, Jan. 2023. https://doi.org/10.3390/s23136119D. Carrizo, C. Moller, D. Carrizo, C. Moller, “Estructuras metodológicas de revisiones sistemáticas de literatura en Ingeniería de Software: un estudio de mapeo sistemático,” Ingeniare: Revista Chilena de Ingeniería, vol. 26, pp. 45-54, Nov. 2018. https://doi.org/10.4067/S0718-33052018000500045A. Sharma, Y. Ali, M. Saifuzzaman, Z. Zheng, Md. M. Haque, “Human Factors in Modelling Mixed Traffic of Traditional, Connected, and Automated Vehicles,” in Advances in Human Factors in Simulation and Modeling, D. N. Cassenti, Ed., Cham: Springer International Publishing, 2018, pp. 262-273. https://doi.org/10.1007/978-3-319-60591-3_24N. Zamora Fandino, O. L. Barrera Reyes, Diagnosis of current road infraestructure in Colombia, Master Thesis, Universidad EAN,Colombia, 2012. http://hdl.handle.net/10882/3405N. M. Torregroza Vargas, Evaluación de los efectos de la fatiga laboral en la seguridad vial: el caso del transporte de carga en Colombia, Master Thesis, Universidad de Los Andes, Colombia, 2012.L. Mercep, Context-Centric Design of Automotive Human-Machine Interfaces, Ph. D. Dissertation, Technische Universität München, Germany, 2014. https://mediatum.ub.tum.de/1185409A. Y. Gasparyan et al., “Specialist Bibliographic Databases,” Journal of Korean Medical Science, vol. 31, no. 5, pp. 660-673, Feb. 2016. https://doi.org/10.3346/jkms.2016.31.5.660J. M. Muñoz Cantero, E. M. Espiñeira Bellón, N. Rebollo-Quintela, “Las píldoras formativas: diseño y desarrollo de un modelo de evaluación en el Espacio Europeo de Educación Superior,” Revista de investigación en educación, vol. 14, no. 2, pp. 156-169, 2016. https://revistas.uvigo.es/index.php/reined/article/view/2084D. Giustini, M. N. K. Boulos, “Google Scholar is not enough to be used alone for systematic reviews,” Online Journal of Public Health Informatics, vol. 5, no. 2, e61265, Jun. 2013. https://doi.org/10.5210/ojphi.v5i2.4623P. A.-W. Harzing, The Publish or Perish Book, 1st ed., Melbourne, Australia: Tarma Software Research, 2013. https://harzing.com/publications/publish-or-perish-book/pdfE. Morales, “Utilización de Zotero como gestor bibliográfico web en estudiantes universitarios,” La Ciencia al Servicio de la salud y la nutrición, vol. 10, no. 1, pp. 397-405, Jul. 2019.F. J. García-Peñalvo, “Mapping sistemáticos de literatura. Caso práctico de planificación usando Parsifal,” Investigación en InterAcción y eLearning, vol. 1, no. 1, e0169690, Dec. 2017. https://doi.org/10.5281/zenodo.1069690A. Haro Sarango, E. R. Chisag Pallmay, J. P. Ruiz Sarzosa, J. E. Caicedo Pozo, “Tipos y clasificación de las investigaciones,” Latam: revista latinoamericana de Ciencias Sociales y Humanidades, vol. 5, no. 2, e39, 2024. https://doi.org/10.56712/latam.v5i2.1927J. F. Fernández Joya, Estilos de conducción de automóviles. Reconocimiento automático usando los sensores de los smartphones, Master Thesis, Politecnico Grancolombiano, Colombia, 2021. https://alejandria.poligran.edu.co/handle/10823/7119H. Alghodhaifi, S. Lakshmanan, “Autonomous Vehicle Evaluation: A Comprehensive Survey on Modeling and Simulation Approaches,” IEEE Access, vol. 9, pp. 151531-151566, 2021. https://doi.org/10.1109/ACCESS.2021.3125620L. Fridman et al., “MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation,” IEEE Access, vol. 7, pp. 102021-102038, 2019. https://doi.org/10.1109/ACCESS.2019.2926040A. Zhou, Y. Liu, E. Tenenboim, S. Agrawal, S. Peeta, “Car-Following Behavior of Human-Driven Vehicles in Mixed-Flow Traffic: A Driving Simulator Study,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 4, pp. 2661-2673, Apr. 2023. https://doi.org/10.1109/TIV.2023.3257962A. P. Bolduc, L. Guo, Y. Jia, “Multimodel Approach to Personalized Autonomous Adaptive Cruise Control,” IEEE Transactions on Intelligent Vehicles, vol. 4, no. 2, pp. 321-330, Jun. 2019. https://doi.org/10.1109/TIV.2019.2904419S. Hernández Sánchez, Deep neural networks for vehicle driving characterization by means of smartphone sensors, Ph. D. Dissertation, Universidad Politecnica de Madrid, Spain, 2020. https://oa.upm.es/65646/S. Hernández Sánchez, R. Fernández Pozo, L. A. Hernández Gómez, “Deep Neural Networks for Driver Identification Using Accelerometer Signals from Smartphones,” in Business Information Systems, W. Abramowicz and R. Corchuelo, Eds., Cham: Springer International Publishing, 2019, pp. 206-220. https://doi.org/10.1007/978-3-030-20482-2_17A. El Khatib, C. Ou, F. Karray, “Driver Inattention Detection in the Context of Next-Generation Autonomous Vehicles Design: A Survey,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 11, pp. 4483-4496, Nov. 2020. https://doi.org/10.1109/TITS.2019.2940874M. Witt, K. Kompaß, L. Wang, R. Kates, M. Mai, G. Prokop, “Driver profiling – Data-based identification of driver behavior dimensions and affecting driver characteristics for multi-agent traffic simulation,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 64, pp. 361-376, Jul. 2019, https://doi.org/10.1016/j.trf.2019.05.007J. H. L. Hansen, C. Busso, Y. Zheng, A. Sathyanarayana, “Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed,” IEEE Signal Processing Magazine, vol. 34, no. 4, pp. 130-142, Jul. 2017, https://doi.org/10.1109/MSP.2017.2699039C. Ryan, F. Murphy, M. Mullins, “End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 3, pp. 1650-1662, Mar. 2021. https://doi.org/10.1109/TITS.2020.2975043P. G. Mastrokostas et al., “A step-by-step guide for designing systematic reviews in spine surgery: a narrative review,” Journal of Spine Surgery, vol. 11, no. 3, pp. 666-677, Sep. 2025. https://doi.org/10.21037/jss-25-48C. Collet, O. Musicant, “Associating Vehicles Automation with Drivers Functional State Assessment Systems: A Challenge for Road Safety in the Future,” Frontiers in Human Neuroscience, vol. 13, no. 1, pp. 1-18, Apr. 2019. https://doi.org/10.3389/fnhum.2019.00131W. Sun et al., “Online distraction detection for naturalistic driving dataset using kinematic motion models and a multiple model algorithm,” Transportation Research Part C: Emerging Technologies, vol. 130, e103317, Sep. 2021. https://doi.org/10.1016/j.trc.2021.103317A. Halin, J. G. Verly, M. Van Droogenbroeck, “Survey and Synthesis of State of the Art in Driver Monitoring,” Sensors, vol. 21, no. 16, e5558, Jan. 2021. https://doi.org/10.3390/s21165558F. M. Favarò, S. O. Eurich, S. S. Rizvi, “‘Human’ Problems in Semi-Autonomous Vehicles: Understanding Drivers’ Reactions to Off-Nominal Scenarios,” International Journal of Human–Computer Interaction, vol. 35, no. 11, pp. 956-971, Jul. 2019. https://doi.org/10.1080/10447318.2018.1561784L. Buckley, S.-A. Kaye, A. K. Pradhan, “Psychosocial factors associated with intended use of automated vehicles: A simulated driving study,” Accident Analysis and Prevention, vol. 115, pp. 202-208, Jun. 2018. https://doi.org/10.1016/j.aap.2018.03.021C. Rengifo, J.-R. Chardonnet, H. Mohellebi, D. Paillot, A. Kemeny, “Driving simulator study of the relationship between motion strategy preference and self-reported driving behavior,” Simulation, vol. 97, no. 9, pp. 619-633, Sep. 2021. https://doi.org/10.1177/0037549721999716B. S. Gamboa, A. Acosta, A. Arcia-Moret, “Analysiso of transport traffic in a satellite network,” Revista Colombiana de Tecnologías de Avanzada, vol. 2, e18, 2011.F. J. Bonilla-Escobar et al., “Driving under the influence of alcohol in Cali, Colombia: prevalence and consumption patterns, 2013,” International Journal of Injury Control and Safety Promotion, vol. 23, no. 2, pp. 179-188, Apr. 2016. https://doi.org/10.1080/17457300.2014.966120A. Kashevnik, R. Shchedrin, C. Kaiser, A. Stocker, “Driver Distraction Detection Methods: A Literature Review and Framework,” IEEE Access, vol. 9, pp. 60063-60076, 2021. https://doi.org/10.1109/ACCESS.2021.3073599J. D. M. Martínez, B. F. A. Olivar, Clasificación de estilo de conducción en el área metropolitana de Bucaramanga con monitoreo a bordo (OBD II) en condiciones reales de carretera, Master Thesis, Universidad Autónoma de Bucaramanga, Colombia, 2024. http://hdl.handle.net/20.500.12749/16806D. J. Keeling, “Latin America’s Transportation Conundrum,” Journal of Latin American Geography, vol. 7, no. 2, pp. 133-154, 2008.R. Barrales Guadarrama, Monitorización de los parámetros climáticos y medioambientales relacionado con el tráfico de vehículos. Sensores climáticos y medioambientales inalámbricos para sistemas inteligentes de transporte, Ph. D. Dissertation, Universitat Politècnica de València, Spain, 2016. https://doi.org/10.4995/Thesis/10251/63276J. M. Ramírez Zárate, Inferencia del enfoque visual de conductores a través de sensores inerciales montados en la cabeza, Ph. D. Dissertation, Universidad Autónoma de Baja California, México, 2021. https://hdl.handle.net/20.500.12930/8127I. Jegham, A. Ben Khalifa, I. Alouani, M. A. Mahjoub, “A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD,” Signal Processing: Image Communication, vol. 88, e115960, Oct. 2020. https://doi.org/10.1016/j.image.2020.115960R. L. McCarthy, “Autonomous Vehicle Accident Data Analysis: California OL 316 Reports: 2015–2020,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, vol. 8, no. 034502, Sep. 2021. https://doi.org/10.1115/1.4051779.D. I. Tselentis, E. Papadimitriou, “Driver Profile and Driving Pattern Recognition for Road Safety Assessment: Main Challenges and Future Directions,” IEEE Open Journal of Intelligent Transportation Systems, vol. 4, pp. 83-100, 2023. https://doi.org/10.1109/OJITS.2023.3237177L. Alonso Rentería, J. M. Pérez Oria, M. J. Ibarra Arenado, J. A. Arce Hernando, M. Fernández Moreno, C. Rodríguez González, “Control de crucero adaptativo para tráfico urbano basado en sensores ultrasónicos,” in XXX Jornadas de Automática, Spain, 2009, p. 104.F. Viadero Monasterio, Diseño de sistemas de automatización de la conducción basados en control robusto para la mejora de la seguridad y el confort en vehículos automóviles, Ph. D. Dissertation, Universidad Carlos III de Madrid, Spain, 2023. https://hdl.handle.net/10016/38048R. Krstačić, A. Žužić, T. Orehovački, “Safety Aspects of In-Vehicle Infotainment Systems: A Systematic Literature Review from 2012 to 2023,” Electronics, vol. 13, no. 13, e2563, Jan. 2024. https://doi.org/10.3390/electronics13132563R. Ezzati Amini et al., “Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance,” Accident Analysis and Prevention, vol. 191, e107195, Oct. 2023. https://doi.org/10.1016/j.aap.2023.107195E. M. Vera, J. S. Armenta, L. P. Hernández-Vidal, M. D. Rodríguez, H. López-Nava, S. García-Pérez, “Uso de plataforma de videojuegos de conducción para analizar el desempeño visual de los conductores: estudio piloto,” in IEEE Mexican International Conference on Computer Science (ENC), Aug. 2022, pp. 1-7. https://doi.org/10.1109/ENC56672.2022.9882935U. Fugiglando et al., “Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 2, pp. 737-748, Feb. 2019. https://doi.org/10.1109/TITS.2018.2836308M. F. Becerra Aravena, Sistema inalámbrico para transmisión de señales de audio con mínima latencia, Master Thesis, Universidad de Chile, Chile, 2016. https://repositorio.uchile.cl/handle/2250/139435J. Balsa Barreiro, Aplicación de sistemas GNSS y SIG a infraestructuras de transporte: estudio sobre la conducción naturalista, Master Thesis, Universidade da Coruña, Spain, 2015. https://dialnet.unirioja.es/servlet/tesis?codigo=44203A. Gupta, A. Anpalagan, L. Guan, A. S. Khwaja, “Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues,” Array, vol. 10, pp. 100-157, Jul. 2021. https://doi.org/10.1016/j.array.2021.100057K. Yu, L. Lin, M. Alazab, L. Tan, B. Gu, “Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 7, pp. 4337-4347, Jul. 2021. https://doi.org/10.1109/TITS.2020.3042504J. M. Scanlon, K. D. Kusano, T. Daniel, C. Alderson, A. Ogle, T. Victor, “Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain,” Accident Analysis and Prevention, vol. 163, e106454, Dec. 2021. https://doi.org/10.1016/j.aap.2021.106454J. A. Borboa Griego, Sistema De Telemetria Con Conectividad WIFI y GPRS De Los Datos Obtenidos Por Interfas OBDII y Ubicacion Vehicular (GPS), Master Thesis, Tecnológico Nacional de México, Mexico, 2018. https://rinacional.tecnm.mx/jspui/handle/TecNM/5145M. Martin et al., “Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles,” in IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, Oct. 2019, pp. 2801-2810. https://doi.org/10.1109/ICCV.2019.00289W. Xiang, Y. Zhang, X. Pan, X. Liu, G. Xu, “Analysis of coping capacities and cognitive biases of novice drivers—A questionnaire-based study,” PLOS ONE, vol. 19, no. 2, pp. 1279-1288, Feb. 2024. https://doi.org/10.1371/journal.pone.0297763C. F. F. Valero, C. P. Puerta, J. M. Rodríguez, L. K. Ariza, R. A. González, “Análisis multicausal de ‘accidentes’ de tránsito en dos ciudades de Colombia,” Archivos de Medicina (Manizales), vol. 18, no. 1, e1, Jun. 2018. https://doi.org/10.30554/archmed.18.1.2477.2018H. V. Koay, J. H. Chuah, C.-O. Chow, Y.-L. Chang, “Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021),” Engineering Applications of Artificial Intelligence, vol. 115, e105309, Oct. 2022. https://doi.org/10.1016/j.engappai.2022.105309G. Yang, M. M. Ahmed, B. Subedi, “Distraction of Connected Vehicle Human–Machine Interface for Truck Drivers,” Transportation Research Record, vol. 2674, no. 9, pp. 438-449, Sep. 2020. https://doi.org/10.1177/0361198120929692J. Guo, U. Kurup, M. Shah, Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving, 2018, https://doi.org/10.48550/arXiv.1811.11277M. T. Rahman, K. Dey, S. Das, M. Sherfinski, “Sharing the road with autonomous vehicles: A qualitative analysis of the perceptions of pedestrians and bicyclists,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 78, pp. 433-445, Apr. 2021. https://doi.org/10.1016/j.trf.2021.03.008C. Gote, M. Flad, S. Hohmann, “Driver characterization & driver specific trajectory planning: an inverse optimal control approach,” in IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, USA, Oct. 2014, pp. 3014-3021. https://doi.org/10.1109/SMC.2014.6974389X. Zhao, W. Xu, J. Ma, H. Li, Y. Chen, “An analysis of the relationship between driver characteristics and driving safety using structural equation models,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 62, pp. 529-545, Apr. 2019, https://doi.org/10.1016/j.trf.2019.02.004J. Ryu, J. C. Gerdes, “Integrating Inertial Sensors with Global Positioning System (GPS) for Vehicle Dynamics Control,” Journal of Dynamic Systems, Measurement, and Control, vol. 126, no. 2, pp. 243-254, Aug. 2004. https://doi.org/10.1115/1.1766026Z. F. Syed, P. Aggarwal, X. Niu, N. El-Sheimy, “Civilian Vehicle Navigation: Required Alignment of the Inertial Sensors for Acceptable Navigation Accuracies,” IEEE Transactions on Vehicular Technology, vol. 57, no. 6, pp. 3402-3412, Nov. 2008. https://doi.org/10.1109/TVT.2008.921616N. El-Sheimy, A. Youssef, “Inertial sensors technologies for navigation applications: state of the art and future trends,” Satellite Navigation, vol. 1, no. 1, e2, Jan. 2020. https://doi.org/10.1186/s43020-019-0001-5Z. Luo et al., “MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization,” IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 5129-5141, Oct. 2018. https://doi.org/10.1109/TIP.2018.2848705R. Xu et al., “V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seul, China, 2023, pp. 13712-13722. https://openaccess.thecvf.com/content/CVPR2023/html/Xu_V2V4Real_A_Real-World_Large-Scale_Dataset_for_Vehicle-to-Vehicle_Cooperative_Perception_CVPR_2023_paper.htmlS. Feng, Y. Feng, C. Yu, Y. Zhang, H. X. Liu, “Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 3, pp. 1573-1582, Mar. 2021. https://doi.org/10.1109/TITS.2020.2972211D. Choi, T. Sato, T. Ando, T. Abe, M. Akamatsu, S. Kitazaki, “Effects of cognitive and visual loads on driving performance after take-over request (TOR) in automated driving,” Applied Ergonomics, vol. 85, e103074, May 2020. https://doi.org/10.1016/j.apergo.2020.103074M. Alghuson, K. Abdelghany, A. Hassan, “Toward an integrated traffic law enforcement and network management in connected vehicle environment: Conceptual model and survey study of public acceptance,” Accident Analysis and Prevention, vol. 133, e105300, Dec. 2019. https://doi.org/10.1016/j.aap.2019.105300L. Romera Gómez, Benchmarking de herramientas de gestión de datos de prueba, Master Thesis, Universidad Politecnica de Madrid, Spain, 2023. https://oa.upm.es/75145/J. A. Khan, D.-W. Lim, Y.-S. Kim, “A Deep Learning-Based IDS for Automotive Theft Detection for In-Vehicle CAN Bus,” IEEE Access, vol. 11, pp. 112814-112829, 2023. https://doi.org/10.1109/ACCESS.2023.3323891e2096875e2096835Revista Facultad de Ingenieríahttps://revistas.uptc.edu.co/index.php/ingenieria/article/download/20968/17130Núm. 75 , Año 2026 : January-March 2026 (Continuos Publication)PublicationOREORE.xmltext/xml2933https://repositorio.uptc.edu.co/bitstreams/4fed76a9-ba0d-49a6-8c56-910e4ff90efe/download3d730a135b1c56c8f88e5c2264331f62MD51falseAnonymousREAD001/22071oai:repositorio.uptc.edu.co:001/220712026-10-29 14:04:59.579https://creativecommons.org/licenses/by/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com |
