This article leads to the challenging problem of increasing vehicle driving security by applying on boarded intelligent diagnosis systems; it presents a methodology of evaluating, in an anticipated way, the risk of having an accident (skid and rollover). The methodology consists in adopting assumptions about the trajectory, the longitudinal velocity and the longitudinal acceleration in future instants and use these assumptions, allied to previous road information to calculate the future vehicle dynamics parameters. Once calculated, the risk indicators based on these parameters could be predicted in order to expect and avoid possible dangerous situations. These indicators are the lateral load transfer (LTR) based on vertical forces, and the lateral skid indicator (LSI) based ont the maximum friction coefficient and the used friction coefficient. A sliding window system is used to apply the method on the whole trajectory to take into account the vehicle dynamics updates by the driver.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Risk indicators anticipation based on the vehicle dynamics anticipation to avoid accidents


    Beteiligte:


    Erscheinungsdatum :

    01.06.2012


    Format / Umfang :

    1173803 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Risk Indicators Anticipation Based on the Vehicle Dynamics Anticipation to Avoid Accidents

    Ghandour, R. / Victorino, A. / Charara, A. et al. | British Library Conference Proceedings | 2012


    Anticipation of coke plant accidents

    Koons, C. | Engineering Index Backfile | 1938


    Accident anticipation

    Townshend, B.W. | Engineering Index Backfile | 1964


    Anticipation in Dynamic Vehicle Routing

    Ulmer, Marlin W. | British Library Conference Proceedings | 2017


    TRAFFIC LIGHT ANTICIPATION

    MEYER JASON / DOERING JEFFREY ALLEN | Europäisches Patentamt | 2017

    Freier Zugriff