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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Artificial neural network for predictions of vehicle drivable range and period


    Contributors:


    Publication date :

    2012-07-01


    Size :

    676237 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    PEDAL-DRIVABLE AND ELECTRICALLY-DRIVABLE VEHICLE

    BARMBY ADAM | European Patent Office | 2021

    Free access

    SELF-DRIVABLE VEHICLE

    YAMAZAKI KENTARO / KINOSHITA MAKOTO / TAKAYAMA KEISUKE et al. | European Patent Office | 2021

    Free access

    SELF-DRIVABLE VEHICLE

    YAMAZAKI KENTARO / KINOSHITA MAKOTO / TAKAYAMA KEISUKE et al. | European Patent Office | 2021

    Free access

    AUTOMATICALLY DRIVABLE VEHICLE

    AOKI SHUN / HAYASHIDA TAKUYA | European Patent Office | 2021

    Free access

    SELF-DRIVABLE VEHICLE

    YAMAZAKI KENTARO / KINOSHITA MAKOTO / TAKAYAMA KEISUKE et al. | European Patent Office | 2021

    Free access