Modeling intelligent vehicle agent in virtual reality traffic simulation system

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.