This paper describes automated data-processing and manoeuvre detection techniques developed as part of a suite of tools used for the prediction of longitudinal vehicle driveability. The core task is to identify events of interest in recorded objective driveability time-series data and generate metrics describing these manoeuvres, which can then be correlated with subjective evaluations provided by the vehicle test drivers. The objective events of particular interest are the start of transients and gear-shift events. As a necessary precursor to the generation of the objective metrics, procedures were designed to check data integrity and to automatically replace data that were found to be faulty, ensuring that as few data points and as little testing time were wasted as is possible.

    Of 741 tests analysed (average of 12 drivers for each of five vehicles), only 11 per cent of tests needed further manual attention following the automated processing. Of these, 64 per cent proved to be irrecoverable owing to data problems and were rejected. The processing and generation of metrics take approximately 1 s per set of test data, producing a time saving of approximately 95 per cent. This makes it possible to perform real-time processing and metric generation as part of a continuous testing scheme or real-time evaluation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automated data processing and metric generation for driveability analysis


    Contributors:
    Pickering, S G (author) / Brace, C J (author)


    Publication date :

    2007-04-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Automated data processing and metric generation for driveability analysis

    Pickering,S.G. / Brace,C.J. / Univ.of Bath,School of Mech.Engng.,GB | Automotive engineering | 2007



    Development of Automated Driveability Rating System

    Gankov, Stanislav / Gunter, Garry / Kyler, CeCe et al. | British Library Conference Proceedings | 2023


    Development of Automated Driveability Rating System

    Kyler, CeCe / Gunter, Garry / Rao, Sandesh et al. | SAE Technical Papers | 2023


    Analysis lead driveability assessment

    Walters,T.L. / Shaw,P. / Kumar,M.M. et al. | Automotive engineering | 2015