Modeling driver car-following based on the queuing network cognitive architecture

Driver car-following control is a quite common activity in driving. Modeling driver car-following in a cognitive architecture can contribute to driving-related human factors research. Queuing network-model human processor (QN-MHP) is a computational cognitive architecture developed to represent huma...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 895 - 900
Main Authors Lu-Zheng Bi, Yi-Li Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Car-following
Cognitive architecture
Computational modeling
Computer architecture
Computer networks
Context modeling
Cybernetics
Driving model
Human factors
Information processing
Machine learning
Neuroscience
Psychology
QN-MHP
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Summary:Driver car-following control is a quite common activity in driving. Modeling driver car-following in a cognitive architecture can contribute to driving-related human factors research. Queuing network-model human processor (QN-MHP) is a computational cognitive architecture developed to represent human information processing as a queuing network on the basis of neuroscience and psychological findings. In this paper, using the QN-MHP cognitive architecture, we propose a driver car-following model to represent the concurrent perceptual, cognitive, and motor activities involved in the task of driver car-following. The simulation results show that this model can perform the control process of car-following well, and the results are consistent with those of driver control.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212407