Alternative sensor system and MLP neural network for vehicle pedal activity estimation

Sensors (Basel). 2010;10(4):3798-814. doi: 10.3390/s100403798. Epub 2010 Apr 14.

Abstract

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.

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

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Automobile Driving*
  • Behavior
  • Humans
  • Models, Theoretical*
  • Motor Activity
  • Motor Vehicles
  • Neural Networks, Computer*
  • Vehicle Emissions

Substances

  • Vehicle Emissions