Abstract The digital twin, with its descriptive and predictive services provides promising prospects in the automotive field. Increased insights in customer behavior and vehicle states through descriptive models enable the predictive services of the digital twin to project these vehicles in the future. Currently, most of the predictive services of the digital twin focus on a singular dimension, the asset itself, without considering the influences of the environment and the driver, which hampers the reliability and accuracy of these models. The present work aims to provide a solution in the form of a holistic digital twin comprising of three descriptive models representing the motorcycle itself, its operating environment, and the motorcycle riding behavior. Based on data gathered during a large-scale measurement campaign, novel insights in the motorcycle riding behavior have enabled its representation into two mathematical formulations. Highlighting the capability of the digital twin to integrate data from heterogeneous sources, the environmental model is generated using geospatial data from a map provider, followed by a novel formulation of a safety driving line. Using a kinematic motorcycle model, the speed and banking angle over the defined route are predicted with high correlation to real-world motorcycle riding behavior. The insights generated by the developed digital twin can be used to enable data-driven development or as an input to provide individualized predictive services during the usage phase.

    Highlights Generation of insights into real-world naturalistic motorcycle riding behavior. Development of an environmental model using road-related topology data. Three-dimensional digital twin of a real-world motorcycle fleet. Validation of digital twin prediction with real-world measurements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Digital twin for motorcycle riding profile prediction


    Beteiligte:
    Smeets, Jasper (Autor:in) / Öztürk, Kemal (Autor:in) / Liebich, Robert (Autor:in)


    Erscheinungsdatum :

    2024-03-06




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Motorcycle riding simulator

    Iwata,H. / Kawasaki Heavy Industries,Aerospace Group,Electronic Engng.Dep.,JP | Kraftfahrwesen | 1997


    Easy motorcycle riding

    Elsevier | 1984


    DEVICE FOR RIDING ELECTRIC MOTORCYCLE

    SAISU KAZUO / AZUMA TOSHIYASU | Europäisches Patentamt | 2018

    Freier Zugriff

    SADDLE RIDING TYPE ELECTRIC MOTORCYCLE

    KIMURA YOSUKE | Europäisches Patentamt | 2021

    Freier Zugriff

    Motorcycle riding exercise training device

    SENK ERIC WALTER / HUGHES RYAN WILLIAM | Europäisches Patentamt | 2018

    Freier Zugriff