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Published in 2018 at "Safety Science"
DOI: 10.1016/j.ssci.2017.08.013
Abstract: Abstract Railway level crossing (LX) safety continues to be one of the most critical issues for railways, despite an ever-increasing focus on improving design and application practices. Accidents at European LXs account for about one-third…
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Keywords:
road;
railway;
prediction model;
accident prediction ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3168302
Abstract: Every year, maritime accidents cause severe damages not only to humans but also to maritime instruments like vessels. The authors of this work therefore propose a machine learning-based maritime accident prediction system that can be…
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Keywords:
system;
maritime accident;
machine;
accident prediction ... See more keywords
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Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.3023661
Abstract: The vehicle accident prediction methods are designed to improve the vehicular safety and reduce the rescue response time in the case of an accident. The existing accident prediction methods, however, do not involve Human-in-the-Loop, i.e.,…
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Keywords:
framework;
human loop;
accident;
accident prediction ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10217949
Abstract: In the construction industry, it is difficult to predict occupational accidents because various accident characteristics arise simultaneously and organically in different types of work. Furthermore, even when analyzing occupational accident data, it is difficult to…
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Keywords:
construction;
accident;
accident prediction;
occupational accident ... See more keywords