Abstract
As high-speed railways continue to be constructed, more maintenance work is needed to ensure smooth operation. However, this leads to frequent accidents involving maintenance workers at the tracks. Although the number of such accidents is decreasing, there is an increase in the number of casualties. When a maintenance worker is hit by a train, it invariably results in a fatality; this is a serious social issue. To address this problem, this study utilized the tunnel monitoring system installed on trains to prevent railway accidents. This was achieved by using a system that uses image data from the tunnel monitoring system to recognize railway signs and railway tracks and detect maintenance workers on the tracks. Images of railway signs, tracks, and maintenance workers on the tracks were recorded through image data. The Computer Vision OpenCV library was utilized to extract the image data. A recognition and detection algorithm for railway signs, tracks, and maintenance workers was constructed to improve the accuracy of the developed prevention system.
Highlights
With increasing construction of new high-speed railways, more railway maintenance work is necessary to ensure seamless operation. is, is accompanied by the frequent occurrence of accidents involving maintenance workers on the tracks.According to a press release [1] from the Ministry of Land, Infrastructure and Transport, from 2007 to 2017, the number of railway accidents decreased by 14.6%, the overall length of railway tracks had increased
When a maintenance worker is hit by a train, it almost always results in a casualty, which is a serious concern. e main safety measures for maintenance work are installing signs—which are expected to be recognized by train drivers—to mark a work zone and allocate a safety guard who notifies train drivers of the work zone
The existing safety measures rely heavily on human capacity. It is entirely possible for a train driver to miss a work zone sign, and safety guards at the track side can be exposed to accidents, along with maintenance workers. us, these measures are essentially incapable of preventing railway Journal of Advanced Transportation accidents
Summary
With increasing construction of new high-speed railways, more railway maintenance work is necessary to ensure seamless operation. is, is accompanied by the frequent occurrence of accidents involving maintenance workers on the tracks.According to a press release [1] from the Ministry of Land, Infrastructure and Transport, from 2007 to 2017, the number of railway accidents decreased by 14.6%, the overall length of railway tracks had increased. With the objective of preventing railway accidents, this study attempted to develop an improved safety system for maintenance workers on the tracks by utilizing the tunnel monitoring system installed on trains and railway vehicles. Is study involved constructing an algorithm for extracting images of railway signs, tracks, and track workers from the image data of a tunnel monitoring system by means of Computer Vision OpenCV library and recognizing those images.
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