Manuscript Title:

USE OF MACHINE LEARNING FOR DRIVERS BEHAVIOR AND CONCENTRATION

Author:

WILSON ARIAS-ROJAS, JORGE ELIECER CÓRDOBA MAQUILÓN​

DOI Number:

DOI:10.17605/OSF.IO/C4KY2

Published : 2021-10-30

About the author(s)

1. WILSON ARIAS-ROJAS - PhD, Universidad Nacional de Colombia Sede Medellín.
2. JORGE ELIECER CÓRDOBA MAQUILÓN​ - PhD, Professor Universidad Nacional de Colombia: sede Medellín.

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Abstract

This research is the result of the analysis of drivers´ behavior in a controlled scenario, using a driving simulator, in which by measuring brain waves, the degree of concentration was measured when driving and through the use of neural networks. Driver behavior model was proposed to be subjected to a distracting effect while driving, which allows analyzing the most relevant factors that are reflected in errors and bad practices at the time of driving.In this research it was determined a population sample of men and women whose ages oscillate between sixteen to ninety years. A driving simulator was built, and it was using a software for the simulation that allows different driving scenarios. Finally, risk behaviors were classified to be a factor of distraction.


Keywords

Drivers behavior, Simulation, Concentration, Neurosky, human behavior, risky behaviors