Machine learning-based methods for analyzing grade crossing safety
Machine learning-based methods for analyzing grade crossing safety
DOI | Resolve DOI: https://doi.org/10.1007/s10586-016-0714-2 |
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Author | Search for: Yang, Chunsheng1; Search for: Trudel, Eric2; Search for: Liu, Yan2 |
Name affiliation |
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Format | Text, Article |
Journal title | Cluster Computing |
ISSN | 1386-7857 1573-7543 |
Volume | 20 |
Issue | 2 |
Pages | 1625–1635 |
Subject | grade crossing; data-driven modeling; feature generation; machine learning algorithm; randomForest regression; crossing safety; GIS |
Abstract | |
Publication date | 2017-01-16 |
Publisher | Springer |
Language | English |
Peer reviewed | Yes |
NPARC number | 23003191 |
Export citation | Export as RIS |
Report a correction | Report a correction | Record identifier | b15f975e-327b-4453-a9b1-a97ccdc4f91e |
Record created | 2018-05-04 |
Record modified | 2020-03-16 |