Despite numerous recent advances in the classroom and in-vehicle driver training and education over the last quarter-century, traffic accidents remain a leading cause of mortality for young adults—particularly, those between the ages of 16 and 19. Obviously, despite recent advances in conventional driver training (e.g., classroom, in-vehicle, Graduated Driver Licensing programs), this remains a critical public safety and public health concern. As advanced vehicle technologies continue to evolve, so too does the unintended potential for mechanical, visual, and/or cognitive driver distraction and adverse safety events on national highways. For these reasons, a physics-based modeling and high-fidelity simulation have great potential to serve as a critical supplementary component of a near-future teen-driver training framework. Here, a case study is presented that examines the specification, development, and deployment of a “blueprint” for a simulation framework intended to increase driver training safety in North America. A multi-measure assessment of simulated driver performance was developed and instituted, including quantitative (e.g., simulator-measured), qualitative (e.g., evaluator-observed), and self-report metrics. Preliminary findings are presented, along with a summary of novel contributions through the deployment of the training framework, as well as planned improvements and suggestions for future directions.


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    Titel :

    Blueprint for a Simulation Framework to Increase Driver Training Safety in North America: Case Study


    Beteiligte:
    Kevin F. Hulme (Autor:in) / Rachel Su Ann Lim (Autor:in) / Meghan Bauer (Autor:in) / Nailah Hatten (Autor:in) / Helena Destro (Autor:in) / Brenden Switzer (Autor:in) / Jodie-Ann Dequesnay (Autor:in) / Rebecca Cashmore (Autor:in) / Ian Duncan (Autor:in) / Anand Abraham (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt






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