Automatic Discovery of Railway Train Driving Modes Using Unsupervised Deep Learning
Automatic Discovery of Railway Train Driving Modes Using Unsupervised Deep Learning
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Driving modes play vital roles in understanding the stochastic nature of a railway system and can support studies of automatic driving and capacity utilization optimization. Integrated trajectory data containing information such as GPS trajectories and gear changes can be good proxies in the study of driving modes. However, in the absence of labele...
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Full title
Automatic Discovery of Railway Train Driving Modes Using Unsupervised Deep Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_328e1aa41c654015ac29bfb2ccd0cdf0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_328e1aa41c654015ac29bfb2ccd0cdf0
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ISSN
2220-9964
E-ISSN
2220-9964
DOI
10.3390/ijgi8070294
