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MODELING DRIVER CAR-FOLLOWING BASED ON THE QUEUING NETWORK COGNITIVE ARCHITECTURE
Bi Luzheng 1 * #,Liu Yili 2
1.School of Mechanical Engineering, Beijing Institute of Technology
2.Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor
*Correspondence author
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Funding: 教育部博士点基金,北京理工大学基础研究基金（No.20070007043,）
Opened online:18 June 2009
Accepted by: none
Citation: Bi Luzheng ,Liu Yili .MODELING DRIVER CAR-FOLLOWING BASED ON THE QUEUING NETWORK COGNITIVE ARCHITECTURE[OL]. [18 June 2009] http://en.paper.edu.cn/en_releasepaper/content/33237
 
 
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;QN-MHP;cognitive architecture;driving model
 
 
 

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