Optimization of driving based on currently measured data

The paper deals with fuel consumption optimization under condition of keeping the recommended speed. The presented approach is based on data currently measured on a driven vehicle and on external observations. Using adaptive optimal control algorithms under Bayesian methodology, a compromise between fuel consumption minimization and keeping the recommended sceed is reached. Research is performed in collaboration with Skoda Auto (www.skoda-auto.com).