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Research groups and evacuation simulation algorithm simulation system

Author: LiWenTong
Tutor: WuFei；XiaoJun
School: Zhejiang University
Course: Applied Computer Technology
Keywords: Interactive crowd simulation Dynamic routing Training groups GPU acceleration CUDA Evacuation Simulation
CLC: TP391.9
Type: Master's thesis
Year: 2012
Downloads: 63
Quote: 0
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Abstract


Traditional group simulation technology often consider group of combinations of several individuals, but in fact groups are composed of a number of individuals with similar behavior constitute a group. Simulation technology for most of the existing groups without considering the above factors, lead to the simulation results and group behavior in real life there are some differences between the problem, and combining with the characteristics of group is composed of various small groups, and puts forward a kind of based on visual information to guide and to consider the pedestrian dynamic pathfinding and local collision avoidance method. Simulation results show that the method in the simulation group can get more natural self-organization phenomena, when compared with several other existing methods, this kind of phenomenon in a complex environment or high density situation will be more obvious. Though some of the existing swarm behavior simulation algorithm can achieve better simulation effect, but with poor performance of the algorithm. In this paper, using CUDA parallel acceleration framework to swarm behavior simulation algorithm, not only obtained a satisfactory simulation effect, but also improve the performance of the algorithm. In the algorithm developed on the basis of population evacuation simulation system, which can be used to study the effects of structure parameters on the population evacuation success rate, to the construction of venues and public facilities has a certain guiding significance.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Computer simulation
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