Alternative Sensor System and MLP Neural Network for Vehicle Pedal Activity Estimation

Sensors

Ahmed M. Wefky²  Felipe Espinosa²  José A. Jiménez¹  Enrique Santiso²  José M. Rodríguez² 

[1] Electronics Department, Polytechnics, University of Alcalá, Campus Universitario s/n, 28871 Alcalá de Henares, Madrid, Spain;

关键词: brake estimator;    clutch estimator;    throttle estimator;    pedals activity estimation;    multilayer perceptron;    ANN estimator;    on-board sensorial system;   

DOI  :  10.3390/s100403798

来源: mdpi

【 摘 要 】

It is accepted that the activity of the vehicle pedals (i.e., throttle, brake, clutch) reflects the driver’s behavior, which is at least partially related to the fuel consumption and vehicle pollutant emissions. This paper presents a solution to estimate the driver activity regardless of the type, model, and year of fabrication of the vehicle. The solution is based on an alternative sensor system (regime engine, vehicle speed, frontal inclination and linear acceleration) that reflects the activity of the pedals in an indirect way, to estimate that activity by means of a multilayer perceptron neural network with a single hidden layer.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.