Alternative Sensor System and MLP Neural Network for Vehicle Pedal Activity Estimation
AbstractIt 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.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Wefky, A.M.; Espinosa, F.; Jiménez, J.A.; Santiso, E.; Rodríguez, J.M.; Fernández, A.J. Alternative Sensor System and MLP Neural Network for Vehicle Pedal Activity Estimation. Sensors 2010, 10, 3798-3814.
Wefky AM, Espinosa F, Jiménez JA, Santiso E, Rodríguez JM, Fernández AJ. Alternative Sensor System and MLP Neural Network for Vehicle Pedal Activity Estimation. Sensors. 2010; 10(4):3798-3814.Chicago/Turabian Style
Wefky, Ahmed M.; Espinosa, Felipe; Jiménez, José A.; Santiso, Enrique; Rodríguez, José M.; Fernández, Alfredo J. 2010. "Alternative Sensor System and MLP Neural Network for Vehicle Pedal Activity Estimation." Sensors 10, no. 4: 3798-3814.