Research on Intelligent Identification of Worker′s Unsafe Behavior in Urban Rail Transit Based on Convolutional Neural Network Algorithm

[Objective] Worker′s unsafe behavior is the fundamental factor in urban rail transit construction accidents. As the traditional management mode is insufficient in restraining the workers from the unsafe behavior, it is necessary to eliminate the hidden danger of accidents subjectively with the help...

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Bibliographic Details

Published in:	Chengshi guidao jiaotong yanjiu
Main Authors:	Fei GUO, Heng KONG, Guogang QIAO
Format:	Article
Language:	Chinese
Published:	Urban Mass Transit Magazine Press 2024-03-01
Subjects:	urban rail transit construction safety unsafe behavior intelligent identification convolutional neural network algorithm
Online Access:	https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2024.03.043.html