Modeling driver vehicle control in a cognitive architecture

Luzheng Bi; Junxing Shang; Guodong Gan; Yili Liu

doi:10.1109/PACCS.2011.5990164

Modeling driver vehicle control in a cognitive architecture

Luzheng Bi^*, Junxing Shang, Guodong Gan, Yili Liu

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - PACCS 2011
Subtitle of host publication	2011 3rd Pacific-Asia Conference on Circuits, Communications and System
DOIs	https://doi.org/10.1109/PACCS.2011.5990164
Publication status	Published - 2011
Event	2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011 - Wuhan, China Duration: 17 Jul 2011 → 18 Jul 2011

Publication series

Name	Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System

Conference

Conference	2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011
Country/Territory	China
City	Wuhan
Period	17/07/11 → 18/07/11

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10.1109/PACCS.2011.5990164

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Bi, L., Shang, J., Gan, G., & Liu, Y. (2011). Modeling driver vehicle control in a cognitive architecture. In Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System Article 5990164 (Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System). https://doi.org/10.1109/PACCS.2011.5990164

@inproceedings{065c545983be42a29655e17c7073f41d,

title = "Modeling driver vehicle control in a cognitive architecture",

abstract = "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.",

author = "Luzheng Bi and Junxing Shang and Guodong Gan and Yili Liu",

year = "2011",

doi = "10.1109/PACCS.2011.5990164",

language = "English",

isbn = "9781457708565",

series = "Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System",

booktitle = "Proceedings - PACCS 2011",

note = "2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011 ; Conference date: 17-07-2011 Through 18-07-2011",

}

Bi, L, Shang, J, Gan, G & Liu, Y 2011, Modeling driver vehicle control in a cognitive architecture. in Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System., 5990164, Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System, 2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011, Wuhan, China, 17/07/11. https://doi.org/10.1109/PACCS.2011.5990164

Modeling driver vehicle control in a cognitive architecture. / Bi, Luzheng; Shang, Junxing; Gan, Guodong et al.
Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System. 2011. 5990164 (Proceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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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.

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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 -

Modeling driver vehicle control in a cognitive architecture

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