Understanding the Implications of the Use of Intelligent Tutoring Systems in Driver Training

Abstract

Effective driver education techniques can greatly benefit from the use of state-of-the-art technologies for driving training and tutoring in classroom environment. Such environment includes simulation systems that are designed based on the Intelligent Tutoring System concepts and framework. This research analyzed simulator data for both simulation and vehicle environments to identify factors for driver training guidelines. Based on the results of this study, one of the recommendations is that current ITS based driver training systems be calibrated to accurately measure the steering input which is found to be the most significant parameter influencing time headway (distances between simulated vehicles). The findings also support the modern intelligent tutoring system used at scale that leverages human feedback to improve their design.