Title: Modeling driver car-following based on the queuing network cognitive architecture
Abstract: 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.
Publication Year: 2009
Publication Date: 2009-07-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 15
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