NDLI: Modeling intelligent vehicle agent in virtual reality traffic simulation system

Content Provider	IEEE Xplore Digital Library
Author	Yue Yu El Kamel, A. Guanghong Gong
Copyright Year	2013
Description	Author affiliation: LAGIS, Ecole Centrale de Lille, Villeneuve d'Ascq, France (Yue Yu; El Kamel, A.) \|\| Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China (Guanghong Gong)
Abstract	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.
Starting Page	274
Ending Page	279
File Size	523896
Page Count	6
File Format	PDF
ISBN	9781479920204
e-ISBN	9781479920228
DOI	10.1109/IcConSCS.2013.6632060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-26
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Three-dimensional displays Intelligent vehicles Biological system modeling Virtual reality Acceleration Vehicles
Content Type	Text
Resource Type	Article

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