VIRTUAL HUMAN ESCAPE MODEL IN A FIRE BUILDING
With the application of the finite state machine and cellular automata, we propose an autonomous virtual human escape model in a fire building. Compared with the existing models, the constitution of crowd behavior rules in our model are more adaptive to the vary environment. In addition, in using cellular automata to realize human path planning, Dijstra algorithm is adopted to make the agents more intelligent. The model is used to trigger human behavior with environmental changes that are controllable in our model. Therefore the model possesses the properties of both intelligence and controllability.
Crowd simulation autonomous agent human behaviour model cognitive model
QINGGE JI YE ENG XIAOLA LIN
School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, 510275, P.R. China
国际会议
开封
英文
298-307
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）