The methodology of naturalistic driving observation aspires to observe the driver and his environment while driving in natural driving settings. It is of great importance in research on road safety as this method of observing road users eliminates the disadvantages of traditional methods like simulator studies or interviews. However, it produces vast such amounts of data and challenges data reduction and data analysis. Therefore automatic methods for filtering critical incidents based on thresholds for numerical data are often applied to select the data to be analysed. This study reports a small-scale field trial in Valencia, Spain, which was conducted within the promoting real life observation for gaining understanding of road user behaviour in Europe project. The analysis of the numerical data using thresholds resulted in a great number of false alarms and did not identify safety-critical sequences. In contrast, video analysis revealed a number of critical events that had not been previously detected using the numerical parameters. The study conveyed the importance of continuous video recording in these kinds of studies and showed that the methodology of data reduction for naturalistic driving studies requires further development in order to be able to capture all the relevant incidents automatically.


    Zugriff

    Zugriff über TIB


    Exportieren, teilen und zitieren



    Titel :

    Identifying critical incidents in naturalistic driving data: experiences from a promoting real life observation for gaining understanding of road user behaviour in Europe small-scale field trial


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2013-06-01


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Naturalistic Driving Study: Field Data Collection

    Blatt A. / Pierowicz J. / Flanigan M. et al. | NTIS | 2015


    Exploratory Analysis of Motorcycle Incidents Using Naturalistic Riding Data

    Williams, Vicki H. / McLaughlin, Shane B. / Williams, Sherry L. et al. | Transportation Research Record | 2015


    Understanding Driving Behaviour in Individuals with Mild Cognitive Impairments: A Naturalistic Study

    Lanfranchi, Vitaveska / Fadlian, Muhammad / Koilpillai, Sheeba G. A. et al. | British Library Conference Proceedings | 2023


    Screening Naturalistic Driving Study Data for Safety-Critical Events

    Wu, Kun-Feng / Jovanis, Paul P. | Transportation Research Record | 2013