TY - GEN
T1 - Modeling intelligent vehicle agent in virtual reality traffic simulation system
AU - Yu, Yue
AU - Kamel, Abdelkader El
AU - Gong, Guanghong
PY - 2013
Y1 - 2013
N2 - Microscopic behaviors in traffic are complex and the traffic information is heterogeneous. However, current research on virtual reality traffic simulation pays little attention on modeling microscopic behavior with the consideration of the human factor. An intelligent vehicle agent model is proposed to better understandings of human factor in virtual reality traffic simulation system. The intelligent vehicle agent is a comprehensive model of 3D virtual vehicle and combines perception, motion, internal properties and cognition modules. Then, car following behavior model is introduced in detail, which is an application case to explain the function of intelligent vehicle agent. Car following behavior of virtual vehicle is realized by the coordination mechanism of agent-based multi-controller, which is determined by predetermined perceptual threshold levels. The preliminary results show the effectiveness of our method to establish the intelligent vehicle agent model and to simulate car following behaviors in virtual reality traffic simulation system.
AB - Microscopic behaviors in traffic are complex and the traffic information is heterogeneous. However, current research on virtual reality traffic simulation pays little attention on modeling microscopic behavior with the consideration of the human factor. An intelligent vehicle agent model is proposed to better understandings of human factor in virtual reality traffic simulation system. The intelligent vehicle agent is a comprehensive model of 3D virtual vehicle and combines perception, motion, internal properties and cognition modules. Then, car following behavior model is introduced in detail, which is an application case to explain the function of intelligent vehicle agent. Car following behavior of virtual vehicle is realized by the coordination mechanism of agent-based multi-controller, which is determined by predetermined perceptual threshold levels. The preliminary results show the effectiveness of our method to establish the intelligent vehicle agent model and to simulate car following behaviors in virtual reality traffic simulation system.
UR - http://www.scopus.com/inward/record.url?scp=84890023944&partnerID=8YFLogxK
U2 - 10.1109/IcConSCS.2013.6632060
DO - 10.1109/IcConSCS.2013.6632060
M3 - Conference contribution
AN - SCOPUS:84890023944
SN - 9781479920204
T3 - 2013 2nd International Conference on Systems and Computer Science, ICSCS 2013
SP - 274
EP - 279
BT - 2013 2nd International Conference on Systems and Computer Science, ICSCS 2013
T2 - 2013 2nd International Conference on Systems and Computer Science, ICSCS 2013
Y2 - 26 August 2013 through 27 August 2013
ER -