A fuzzy logic model to estimate safe driving behavior based on traffic violation

Silva Feraud, Iván and Lara, María Mercedes and Naranjo Hernández, José Eugenio (2018). A fuzzy logic model to estimate safe driving behavior based on traffic violation. In: "ETCM 2017. Second Ecuador Technical Chapters Meeting", 16/10/2017-20/10/2017, Salinas, Ecuador. ISBN 978-1-5386-3895-8. pp. 1-6. https://doi.org/10.1109/ETCM.2017.8247536.

Description

Title: A fuzzy logic model to estimate safe driving behavior based on traffic violation
Author/s:
  • Silva Feraud, Iván
  • Lara, María Mercedes
  • Naranjo Hernández, José Eugenio
Item Type: Presentation at Congress or Conference (Article)
Event Title: ETCM 2017. Second Ecuador Technical Chapters Meeting
Event Dates: 16/10/2017-20/10/2017
Event Location: Salinas, Ecuador
Title of Book: 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM)
Date: 8 January 2018
ISBN: 978-1-5386-3895-8
Subjects:
Freetext Keywords: Fuzzy logic; Traffic violations; Safety driving; Intel-ligent Transport system
Faculty: E.T.S.I. de Sistemas Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Reports from international organizations estimate that death by traffic accidents will increase over the next two decades. One of the main causes of traffic accidents is the traffic violation to road safety norms. Thus, we propose a method to automatically estimate driver's traffic violation from the vehicle's data and traffic signs information. Fifteen drivers traveled during 25 minutes approximately in a selected route, with 24 recognized traffic signs. From these data, human expertise and the Organic Integral Criminal Code (COIP) information, we create a fuzzy logic model to estimate the traffic violation of drivers. To validate our model, we count all contraventions associated with the penalty it would cause to the driver license's points, in the same way, a driver would be issued a traffic ticket. Results show a high correlation between the estimation of the traffic violation and contravention points. This methodology serves as a baseline for real-time estimation of traffic violations. Further work will validate this methodology with more drivers to generalize these results.

More information

Item ID: 65577
DC Identifier: https://oa.upm.es/65577/
OAI Identifier: oai:oa.upm.es:65577
DOI: 10.1109/ETCM.2017.8247536
Official URL: https://site.ieee.org/etcm-2017/
Deposited by: Memoria Investigacion
Deposited on: 26 Jan 2021 11:37
Last Modified: 26 Jan 2021 11:37
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