Prediction of the clutch pedal forces to improve the driving performance

Author:

Toro Sergio Fuentes del1ORCID,Olmeda Ester1ORCID,Santos-Cuadros Silvia1ORCID,Díaz Vicente1ORCID

Affiliation:

1. Universidad Carlos III de Madrid

Abstract

Abstract What if could be possible to give instructions to the learners to improve their driving abilities? What could be the future of the learning process if the actions of the learners could be predicted and the learning-teaching process could be modified based on their abilities? Following this idea, it could be possible to train future drivers carefully and correct their possible mistakes based on low experience or in unfamiliar situations because of their worthlessness. For that reason, the design of the components the driver handle in the vehicle is an essential requirement to consider in case to enhance and adapt the environment to the user. This article is focused on the development of two different models (statistical and fully logic) that can predict the applied force on the pedal clutch. For this purpose, some driving tests with 26 volunteers and a real vehicle were performed. Those experiments generated a massive database where the experience and other physiological characteristics were taken into mind to create the statistical and fuzzy logic model.

Publisher

Research Square Platform LLC

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