Structuring Neural Network Driver Model and Analyzing Its Characteristics

Paper #:
  • 2000-05-0376

Published:
  • 2000-06-12
Pages:
8
Abstract:
Using the results of lane-change tests performed on a driving simulator, driver models were developed by means of a neural-network system. Several kinds of driver visual information were used as input data for structure of the neural network, and the steering angle was employed as learning information. A series of simulations employing the trained neural network was conducted to determine the allowable ranges of initial vehicle position, velocity, stability factor, and other variables for successful lane-change maneuvers and for stable running against side winds.
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