Artificial neural network for predictions of vehicle drivable range and period

An artificial neural network for predicting the drivable range and period for vehicles under remaining fuel is presented in this paper. The driver's driving behaviors, vehicle condition and traffic route are all taking into consideration. The presented method could learn from the statuses of vehicle such as vehicle speed and engine speed and traffic route to make a prediction of vehicle drivable range and period under remaining fuel. The experimental results are presented for to guarantee the artificial neural network could estimate the vehicle drivable range and period accurately.