TY - GEN
T1 - Multi-agent based architecture for virtual reality intelligent simulation system of vehicles
AU - Yu, Yue
AU - El Kamel, Abdelkader
AU - Gong, Guanghong
PY - 2013
Y1 - 2013
N2 - Most existed researches on traffic simulation with virtual reality are mainly concentrated on the visualization or the real-time simulation to create immersion experiences in virtual world, but little attention has been paid on system modeling and formal specification of traffic simulation. Based on multi-agent technology, Virtual Reality Intelligent Simulation System of Vehicles (VR-ISSV) is proposed to investigate the modeling method of vehicles simulation system, with the advantages of reusability, scalability and flexibility. Firstly, the framework modeling is introduced to depict the general intelligent simulation system. Then, intelligent vehicle agent and environment agent are presented for the simulation of interactions among the vehicles, the traffic situation and the environment. Finally, the application results of the proposed system are realized.
AB - Most existed researches on traffic simulation with virtual reality are mainly concentrated on the visualization or the real-time simulation to create immersion experiences in virtual world, but little attention has been paid on system modeling and formal specification of traffic simulation. Based on multi-agent technology, Virtual Reality Intelligent Simulation System of Vehicles (VR-ISSV) is proposed to investigate the modeling method of vehicles simulation system, with the advantages of reusability, scalability and flexibility. Firstly, the framework modeling is introduced to depict the general intelligent simulation system. Then, intelligent vehicle agent and environment agent are presented for the simulation of interactions among the vehicles, the traffic situation and the environment. Finally, the application results of the proposed system are realized.
UR - http://www.scopus.com/inward/record.url?scp=84881277491&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2013.6548806
DO - 10.1109/ICNSC.2013.6548806
M3 - Conference contribution
AN - SCOPUS:84881277491
SN - 9781467351980
T3 - 2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013
SP - 597
EP - 602
BT - 2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013
T2 - 2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013
Y2 - 10 April 2013 through 12 April 2013
ER -