@inproceedings{55596530e5394de9b3bfa2018069f501,
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.",
keywords = "Car-following, Cognitive architecture, Driving model, QN-MHP",
author = "Bi, {Lu Zheng} and Liu, {Yi Li}",
year = "2009",
doi = "10.1109/ICMLC.2009.5212407",
language = "English",
isbn = "9781424437030",
series = "Proceedings of the 2009 International Conference on Machine Learning and Cybernetics",
pages = "895--900",
booktitle = "Proceedings of the 2009 International Conference on Machine Learning and Cybernetics",
note = "2009 International Conference on Machine Learning and Cybernetics ; Conference date: 12-07-2009 Through 15-07-2009",
}