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A more realistic simulation of pedestrian based on cellular automata
2009
2009 IEEE International Workshop on Open-source Software for Scientific Computation (OSSC)
the simulation of pedestrian has been studied for a long time from various points; however, most of them have not considered the psychological and terrain factors for pedestrians. Firstly, we develop the fundamental model of pedestrian simulation based on Cellular Automata. To consider the terrain factors, this paper embeds neural network into these agents to ensure intelligent and realistic. The data of training neural network are collected from real pedestrians, which make agents more
doi:10.1109/ossc.2009.5416792
fatcat:ppq4uxg6xnannnalz6hvzie6d4