Machine learning-based methods for analyzing grade crossing safety

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1007/s10586-016-0714-2
AuthorSearch for: 1; Search for: 2; Search for: 2
Name affiliation
  1. National Research Council of Canada. Digital Technologies
  2. National Research Council of Canada. Automotive and Surface Transportation
FormatText, Article
Journal titleCluster Computing
ISSN1386-7857
1573-7543
Volume20
Issue2
Pages16251635
Subjectgrade crossing; data-driven modeling; feature generation; machine learning algorithm; randomForest regression; crossing safety; GIS
Abstract
Publication date
PublisherSpringer
LanguageEnglish
Peer reviewedYes
NPARC number23003191
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Record identifierb15f975e-327b-4453-a9b1-a97ccdc4f91e
Record created2018-05-04
Record modified2020-03-16
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