This paper proposed a driver workload model which incorporate road complexity, driving speed and time constraint in the assessment of driver reliability. The model was tested in an experiment on a virtual test track consisting of curves of various radius using driving simulator, and drivers drive at the speeds from 30km/hr to 120km/hr, as well as speeds mimicking driving scenarios adopted by late drivers. The workload experienced by drivers was measured using a secondary task technique of random number repetition. The result of experiment accords with many other workload models.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driver Reliability Assessment Based Mental Workload


    Beteiligte:
    Tang, Zhihui (Autor:in) / Zhang, Kairan (Autor:in) / Cheng, Xueqing (Autor:in)

    Kongress:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    29.07.2009




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Driver Reliability Assessment Based Mental Workload

    Tang, Z. / Zhang, K. / Cheng, X. et al. | British Library Conference Proceedings | 2009


    Study of drivers mental workload model

    Miyashita, Y. / Miki, Y. / Itoh, K. et al. | British Library Conference Proceedings | 2009


    Automotive automation: effects, problems and implications for driver mental workload

    Young, M. S. / Stanton, N. A. / Cranfield University; College of Aeronautics; Department of Applied Psychology | British Library Conference Proceedings | 1997



    Improving safety through online driver workload assessment

    Younsi, Karine / Girard, Jean-Marc / Popieul, Jean-Christophe et al. | IEEE | 2008