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

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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

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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Dokumentinformationen

Titel :

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

Weitere Titelangaben:

Lect. Notes in Networks, Syst.

Beteiligte:

Robles-Bykbaev, Vladimir (Herausgeber:in) / Mula, Josefa (Herausgeber:in) / Reynoso-Meza, Gilberto (Herausgeber:in) / Rivera Campoverde, Néstor (Autor:in) / Molina Campoverde, Paúl (Autor:in) / Molina Campoverde, Juan (Autor:in)

Kongress:

International Conference on Science, Technology and Innovation for Society ; 2022 ; Guayaquil, Ecuador June 22, 2022 - June 24, 2022

Erschienen in:

Intelligent Technologies: Design and Applications for Society ; Kapitel : 29 ; 335-345

Lecture Notes in Networks and Systems ; 607

Erscheinungsdatum :

2023-02-01

Format / Umfang :

11 pages

ISBN :

978-3-031-24327-1 , 978-3-031-24326-4

ISSN :