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FEASIBILITY OF NEW SIMULATION TECHNOLOGY TO TRAIN NOVICE DRIVERS

This project examined the feasibility of using existing simulation and other electronic device technology with the potential for the safety training of novice drivers. Project activities included: a literature review; site visits and telephone inquiries to software and hardware firms; a workshop with a panel of experts; a task report with recommendations for training applications and platforms; and a final report. It was found that current driver training products geared for the PC primarily focus on knowledge-based training applications; and have limited simulation and interactivity characteristics. The gaming world uses more dynamic and realistic scenarios and has greater driving function-related interactivity, but has significantly greater development and proprietary concerns. Most driving simulators are primarily used for research and training; and due to their high cost, and limited accessibility are not applicable for the training intended under the scope of this project. Recommendations are provided for training elements, software and hardware applications, and research needs. The most amenable training elements for novice drivers include hazard anticipation, visual scanning behavior, foveal/peripheral visual performance, and knowledge elements. Other training elements considered include peripheral visual performance, performance degradation, and speed and headway choice. Several programming languages, packages, and pre-production storyboard software packages are available to use in development. The most practical device to use for development and training is the IBM-compatible PC, because of its versatility, cost, accessibility, and popularity. Research should focus on human factors issues relating to trainee feedback and evaluation, criterion, incentives, incidental learning, transfer-of-training, and non-driving-related and strategic learning. Research needs to address fidelity and scope of simulation for motion and visual systems; and to better understand network training applications across remote locations.