Abstract
In this paper, the authors present a stochastic,discontinuous modeling framework that is designed for abstracting human control strategies and is based on hidden Markov models (HMM). A real-time driving simulator is developed for investigating human control strategies. The shortcomings of a typical continuous modeling approach for modeling discontinuous human control strategies are discussed. The HMM-based method is shown to demonstrate greater fidelity to the human training data.
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