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论文类型：期刊论文

发表时间：2021-01-10

发表刊物：IMAGE AND VISION COMPUTING

卷号：102

ISSN号：0262-8856

关键字：Evacuation; Deep learning; VR video tracking method; YOLO-based recursive neural network model; Simulation

摘要：Evacuation behavior is an important factor which must be considered in the design of public structures. With the continuous complexity of structure, more and more factors should be considered in evacuation. The traditional design based on experience may have some limitations in practice. Based on the deep neural network model, the evacuation design simulation for subway station buildings is implemented. VR video tracking technologies such as auxiliary image data pre-training algorithm, tracking sequence pre-training algorithm, and recursive neural network model based on You Only Look Once (YOLO) arc introduced. Compared with the convolutional neural network (CNN) model, the classified data set pre-training model, and YOLO algorithm, the accuracy and training speed of the model algorithm are verified. In simulation, the Zhujiang New Town Station in Guangzhou is taken as the object. The initial evacuation test point is selected according to the structure of the subway platform, and the test personnel are selected according to the test requirements. The average evacuation time and the average satisfaction score of the testers under the influence factors such as gender, age, subway frequency, and familiarity with VR equipment, as well as under the initial starting points of different evacuation tests. The results show that the accuracy of the algorithm is lower than that of the CNN, but the training speed is faster. The accuracy of the model based on YOLO recurrent neural network is the highest. Although the training speed is 19 ms, which is higher than other models, the overall performance is the best. Differences in factors such as gender, age, frequency of subway ride, and familiarity with VR devices will result in different differences in average evacuation time and average satisfaction score. When the platform center is used as the initial evacuation point, the average evacuation time is the shortest, and the average satisfaction score of the testers is the highest. In conclusion, through VR video tracking technology, the actual situation of subway station buildings can be well simulated, and further design schemes can be made according to the simulated situation, which has practical reference significance. (C) 2020 Elsevier B.V. All rights reserved.