In this paper, a machine-learning framework is used for riding pattern recognition. The problem is formulated as a classification task to identify the class of riding patterns using data collected from 3-D accelerometer/gyroscope sensors mounted on motorcycles. These measurements constitute an experimental database used to analyze powered two-wheeler rider behavior. Several well-known machine-learning techniques are investigated, including the Gaussian mixture models, the k-nearest neighbor model, the support vector machines, the random forests, and the hidden Markov models (HMMs), for both discrete and continuous cases. Additionally, an approach for sensor selection is proposed to identify the significant measurements for improved riding pattern recognition. The experimental study, performed on a real data set, shows the effectiveness of the proposed methodology and the effectiveness of the HMM approach in riding pattern recognition. These results encourage the development of these methodologies in the context of naturalistic riding studies.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework




    Erscheinungsdatum :

    2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik



    Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework

    Attal, Ferhat / Boubezoul, Abderrahmane / Oukhellou, Latifa et al. | IEEE | 2015


    Study of riding specifics of the electric and conventional powered two-wheeler users

    Toman, Premysl / Svoboda, Josef / Pinkas, Jaroslav | IEEE | 2021


    Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network

    Leyli-abadi, Milad / Boubezoul, Abderrahmane / Oukhellou, Latifa | IEEE | 2020


    TWO-WHEELER INTEGRATED SYSTEM FOR AN IMPROVED RIDING EXPERIENCE

    CASTRO VILAS BOAS VERA PATRÍCIA / ALMEIDA DA COSTA PINTO LISBOA MARIA ISABEL / FERREIRA GOMES RUI MANUEL et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Powered two-wheeler crash scenario development

    Atalar, Deniz / Thomas, Pete | Elsevier | 2019