Referenced Items are not available for this document.
This paper deals with two modeling approaches to car driving. The first one is a system theoretic approach to describe adaptive human driving behavior. The second approach utilizes neural networks. As an illustrative example the overtaking task is considered and modeled in system theoretic terms. Model results are used to teach a neural network. The results show that a neural network is able to learn this task even when certain task variables change. The next step is to perform an experiment with real human operators in order to assess the validity of both modeling approaches and their relative merit
Published in:
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
(Volume:4
)
Date of Conference: 14-17 Oct 1996
- Page(s):
- 2558 - 2563 vol.4
- Meeting Date :
- 14 Oct 1996-17 Oct 1996
- ISSN :
- 1062-922X
- Print ISBN:
- 0-7803-3280-6
- INSPEC Accession Number:
- 5496304
- Conference Location :
- Beijing
- Digital Object Identifier :
- 10.1109/ICSMC.1996.561332
- Product Type:
- Conference Publications
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