Simulation model of crowd evacuation movement based on deep convolutional neural network
In order to provide accurate and reliable fundamen-tals for the study of crowd evacuation,a crowd evacuation mo-tion simulation model based on deep convolutional neural net-work was proposed.To obtain the data required for neural net-work training,the CSRNet neural network and DBSCAN algo-rithm were deployed to extract real crowd trajectory data from surveillance video.By the training of deep convolutional neu-ral network,the real crowd behavior pattern was deeply ex-tracted so as to establish the crowd motion simulation model.The results show that the model can accurately predict the movement behavior and truly simulate the movement trajectory of the crowd,thereby providing a basis for the formulation of emergency evacuation strategies and the design of evacuation channels in public places.
NETL
NSTL
万方数据
