TY - GEN
T1 - Modeling driver vehicle control in a cognitive architecture
AU - Bi, Luzheng
AU - Shang, Junxing
AU - Gan, Guodong
AU - Liu, Yili
PY - 2011
Y1 - 2011
N2 - Driver vehicle control models are important in understanding driving behavior and aiding design vehicle components. In this paper, we develop a computational model of driver vehicle control based on the queuing network-model human processor cognitive architecture. A comparison of the behavioral data collected with human drivers and the driver model for path following with speed change on straight and curved roads suggests that this computational model performs the speed and steering control tasks well.
AB - Driver vehicle control models are important in understanding driving behavior and aiding design vehicle components. In this paper, we develop a computational model of driver vehicle control based on the queuing network-model human processor cognitive architecture. A comparison of the behavioral data collected with human drivers and the driver model for path following with speed change on straight and curved roads suggests that this computational model performs the speed and steering control tasks well.
UR - http://www.scopus.com/inward/record.url?scp=80052865266&partnerID=8YFLogxK
U2 - 10.1109/PACCS.2011.5990164
DO - 10.1109/PACCS.2011.5990164
M3 - Conference contribution
AN - SCOPUS:80052865266
SN - 9781457708565
T3 - Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System
BT - Proceedings - PACCS 2011
T2 - 2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011
Y2 - 17 July 2011 through 18 July 2011
ER -