Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers

Néstor Rivera Campoverde; Paúl Molina Campoverde; Juan Molina Campoverde

doi:10.1007/978-3-031-24327-1_29

Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers

Grupo de Investigación en Ingeniería del Transporte (GIIT)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

Cuenca-Loja Road is a great reflection of the national reality, in the last five years, there have been 13 accidents of public transport vehicles, which left as consequences 159 injuries and 18 deaths. According to data from the National Traffic Agency (ANT) the main cause of accidents is the driver inexperience being 65.56% due to speeding, 23.33% due to invasion of the lane in an overtaking maneuver, and 11.11% for lost control of the vehicle. This research determines the areas with the highest accident rates along the Cuenca - Loja Road based on the physical characteristics of the road and the driving style. Fort the data acquisition a data logger device connected to the OBD II port was used that stores information such as speed, acceleration, and GPS, among others. Then, using automatic learning tools, the correlation between the different characteristics of the road (long slopes, road curves, etc.) and the driving style was determined in order to establish driving parameters appropriate to the geography and road surface.

Idioma original	Inglés
Título de la publicación alojada	Intelligent Technologies
Subtítulo de la publicación alojada	Design and Applications for Society - Proceedings of CITIS 2022
Editores	Vladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	335-345
Número de páginas	11
ISBN (versión impresa)	9783031243264
DOI	https://doi.org/10.1007/978-3-031-24327-1_29
Estado	Publicada - 2023
Evento	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador Duración: 22 jun. 2022 → 24 jun. 2022

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	607 LNNS

Conferencia

Conferencia	8th International Conference on Science, Technology and Innovation for Society, CITIS 2022
País/Territorio	Ecuador
Ciudad	Guayaquil
Período	22/06/22 → 24/06/22

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

Areas de Conocimiento del CACES

617A Diseño y construcción de vehículos, barcos y aeronaves motorizadas

Acceder al documento

10.1007/978-3-031-24327-1_29

Otros archivos y enlaces

Enlace a la publicación en Scopus

Caracterización del parque automotor a través de la aplicación de arquitecturas Machine Learning para determinar los efectos sobre la sociedad del cantón Cuenca
Rivera Campoverde, N. D. (Investigador Secundario), Montero Salgado, J. P. (Investigador principal), Vazquez Salazar, J. S. (Investigador Secundario), Aguilar Romero, A. Y. (Estudiante Investigador), Garate Montalvo, D. A. (Estudiante Investigador), Contreras Urgiles, R. W. (Investigador Secundario), Bermeo Naula, A. K. (Estudiante Investigador), Morocho Guaman, J. E. (Estudiante Investigador), Vacacela Romero, J. H. (Estudiante Investigador), Bautista Zeas, J. E. (Estudiante Investigador), Reinoso Mejia, L. E. (Estudiante Investigador), Fernandez Auquilla, E. P. (Estudiante Investigador), Chuva Buele, J. H. (Estudiante Investigador), Morocho Valdez, E. O. (Estudiante Investigador), Carchi Ramon, P. V. (Estudiante Investigador), Maldonado Saquisare, R. O. (Estudiante Investigador), Neira Vivanco, E. M. (Estudiante Investigador), Barrera Lazo, A. A. (Estudiante Investigador) & Nieves Merchan, C. A. (Estudiante Investigador)
19/07/18 → 3/06/22
Proyecto: Investigación y Desarrollo

Citar esto

Rivera Campoverde, N., Molina Campoverde, P., & Molina Campoverde, J. (2023). Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers. En V. Robles-Bykbaev, J. Mula, & G. Reynoso-Meza (Eds.), Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022 (pp. 335-345). (Lecture Notes in Networks and Systems; Vol. 607 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24327-1_29

Rivera Campoverde, Néstor ; Molina Campoverde, Paúl ; Molina Campoverde, Juan. / Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers. Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. editor / Vladimir Robles-Bykbaev ; Josefa Mula ; Gilberto Reynoso-Meza. Springer Science and Business Media Deutschland GmbH, 2023. pp. 335-345 (Lecture Notes in Networks and Systems).

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title = "Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers",

abstract = "Cuenca-Loja Road is a great reflection of the national reality, in the last five years, there have been 13 accidents of public transport vehicles, which left as consequences 159 injuries and 18 deaths. According to data from the National Traffic Agency (ANT) the main cause of accidents is the driver inexperience being 65.56\% due to speeding, 23.33\% due to invasion of the lane in an overtaking maneuver, and 11.11\% for lost control of the vehicle. This research determines the areas with the highest accident rates along the Cuenca - Loja Road based on the physical characteristics of the road and the driving style. Fort the data acquisition a data logger device connected to the OBD II port was used that stores information such as speed, acceleration, and GPS, among others. Then, using automatic learning tools, the correlation between the different characteristics of the road (long slopes, road curves, etc.) and the driving style was determined in order to establish driving parameters appropriate to the geography and road surface.",

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note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 ; Conference date: 22-06-2022 Through 24-06-2022",

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Rivera Campoverde, N , Molina Campoverde, P & Molina Campoverde, J 2023, Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers. En V Robles-Bykbaev, J Mula & G Reynoso-Meza (eds.), Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. Lecture Notes in Networks and Systems, vol. 607 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 335-345, 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022, Guayaquil, Ecuador, 22/06/22. https://doi.org/10.1007/978-3-031-24327-1_29

Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers. / Rivera Campoverde, Néstor ; Molina Campoverde, Paúl; Molina Campoverde, Juan.
Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. ed. / Vladimir Robles-Bykbaev; Josefa Mula; Gilberto Reynoso-Meza. Springer Science and Business Media Deutschland GmbH, 2023. p. 335-345 (Lecture Notes in Networks and Systems; Vol. 607 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers

AU - Rivera Campoverde, Néstor

AU - Molina Campoverde, Paúl

AU - Molina Campoverde, Juan

PY - 2023

Y1 - 2023

N2 - Cuenca-Loja Road is a great reflection of the national reality, in the last five years, there have been 13 accidents of public transport vehicles, which left as consequences 159 injuries and 18 deaths. According to data from the National Traffic Agency (ANT) the main cause of accidents is the driver inexperience being 65.56% due to speeding, 23.33% due to invasion of the lane in an overtaking maneuver, and 11.11% for lost control of the vehicle. This research determines the areas with the highest accident rates along the Cuenca - Loja Road based on the physical characteristics of the road and the driving style. Fort the data acquisition a data logger device connected to the OBD II port was used that stores information such as speed, acceleration, and GPS, among others. Then, using automatic learning tools, the correlation between the different characteristics of the road (long slopes, road curves, etc.) and the driving style was determined in order to establish driving parameters appropriate to the geography and road surface.

AB - Cuenca-Loja Road is a great reflection of the national reality, in the last five years, there have been 13 accidents of public transport vehicles, which left as consequences 159 injuries and 18 deaths. According to data from the National Traffic Agency (ANT) the main cause of accidents is the driver inexperience being 65.56% due to speeding, 23.33% due to invasion of the lane in an overtaking maneuver, and 11.11% for lost control of the vehicle. This research determines the areas with the highest accident rates along the Cuenca - Loja Road based on the physical characteristics of the road and the driving style. Fort the data acquisition a data logger device connected to the OBD II port was used that stores information such as speed, acceleration, and GPS, among others. Then, using automatic learning tools, the correlation between the different characteristics of the road (long slopes, road curves, etc.) and the driving style was determined in order to establish driving parameters appropriate to the geography and road surface.

KW - Driving behavior

KW - Driving style

KW - Machine learning

KW - Traffic accidents

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U2 - 10.1007/978-3-031-24327-1_29

DO - 10.1007/978-3-031-24327-1_29

M3 - Conference contribution

AN - SCOPUS:85151046984

SN - 9783031243264

T3 - Lecture Notes in Networks and Systems

SP - 335

EP - 345

BT - Intelligent Technologies

A2 - Robles-Bykbaev, Vladimir

A2 - Mula, Josefa

A2 - Reynoso-Meza, Gilberto

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022

Y2 - 22 June 2022 through 24 June 2022

ER -

Rivera Campoverde N , Molina Campoverde P, Molina Campoverde J. Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers. En Robles-Bykbaev V, Mula J, Reynoso-Meza G, editores, Intelligent Technologies: Design and Applications for Society - Proceedings of CITIS 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 335-345. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-24327-1_29

Estimation of Areas with the Highest Accident Rate on the Cuenca-Loja Road According to the Driving Maneuvers

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

ODS de las Naciones Unidas

Areas de Conocimiento del CACES

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

Caracterización del parque automotor a través de la aplicación de arquitecturas Machine Learning para determinar los efectos sobre la sociedad del cantón Cuenca

Citar esto