Predictive velocity control can be used to enable efficient driving regarding fuel efficiency and driving time. Commonly, velocity optimization algorithms only take static information, like road slope and curvature, into account and neglect dynamic information, like traffic lights and other traffic participants, although the information is available through sensors or could be made available by vehicle-tovehicle or vehicle-to-infrastructure communication. Thus, static optimization algorithms do not provide optimal solutions in dynamic environments, caused by driver or assistance systems intervention. Because the incorporation of dynamic information increases the complexity of the problem to find an optimal control policy, its use in real-time applications is often prohibited.An algorithm is presented which allows a fast computation of all optimal speed profiles with regard to time and fuel consumption. The algorithm iteratively computes possible velocity profiles of the vehicle from which all suboptimal profiles are filtered out. The filtering highly reduces the amount of possible solutions that are tracked, so that the algorithm can be used in real-time control for certain prediction horizons.Among the optimal solutions the most favorable velocity profile can then be chosen according to driver preferences and traffic situation. The evaluation of many optimal profiles allows to deviate from a fixed weighting between time reduction and fuel efficiency in situations where a small increase in overall fuel consumption can result in a highly reduced time or vice versa.In a simulation it is shown that the obtained velocity profiles reduce time and fuel consumption, compared to a driver model for different traffic scenarios.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Predictive Vehicle Velocity Control using Dynamic Traffic Information


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2016 World Congress and Exhibition ; 2016



    Erscheinungsdatum :

    2016-04-05




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Predictive Vehicle Velocity Control Using Dynamic Traffic Information

    Vögele, Ulrich / Endisch, Christian | British Library Conference Proceedings | 2016


    Dynamic predictive systems for vehicle traffic management

    CORBACIO MARIELLA / MANGANELLI PATRIZIA / MATTEAGI ELISA | Europäisches Patentamt | 2021

    Freier Zugriff

    Intelligent vehicle control based on predictive urban traffic information

    Schuricht,P. / Baeker,B. / Tech.Univ.Dresden,DE | Kraftfahrwesen | 2010


    Intelligent Vehicle Control based on Predictive Urban Traffic Information

    Schuricht, P. / Baker, B. / International Federation of Automobile Engineers' and Technicians' Associations | British Library Conference Proceedings | 2010


    DYNAMIC PREDICTIVE SYSTEMS FOR VEHICLE TRAFFIC MANAGEMENT

    CORBACIO MARIELLA / MANGANELLI PATRIZIA / MATTEAGI ELISA | Europäisches Patentamt | 2020

    Freier Zugriff