The paper presents a number of vehicle dynamics models for estimating maximum vehicle acceleration levels based on a vehicle's tractive effort and aerodynamic, rolling, and grade resistance forces. In addition, typical model input parameters for different vehicle, pavement, and tire characteristics are presented. The model parameters are calibrated/validated against field data that were collected along the Smart Road test facility at Virginia Tech utilizing a truck and trailer for 10 weight-to-power configurations, ranging from 85 kg/kW to 169 kg/kW(140 lb/hp to 280 lb/hp). The model was found to predict vehicle speeds at the conclusion of the travel along the section to within 5 km/h (3.1 mi/h) of field measurements, thus demonstrating the validity and applicability of the model.


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    Titel :

    Vehicle Dynamics Model for Predicting Maximum Truck Acceleration Levels


    Beteiligte:
    H. Rakha (Autor:in) / I. Lucic (Autor:in) / S. H. Demarchi (Autor:in) / J. R. Setti (Autor:in) / M. Van Aerde (Autor:in)

    Erscheinungsdatum :

    2006


    Format / Umfang :

    76 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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