Exploiting Machine Learning for the Identification of Locomotives’ Position in Large Freight Trains

Author(s): Arruda, Helder; Ohashi, Orlando; Ferreira,Jair; Souza, Cleidson De; Pessin, Gustavo
Summary: Accurate identification of locomotives’ position in large freight trains is important due to maintenance and management aspects. Current solutions employ RFIDs, image cameras or GPS, while the first two are expensive, the third is not an offthe- shelf hardware for all locomotives. In this paper we investigate a data driven solution to automatically identify locomotives’ position in large freight trains. We take into account offthe- shelf hardware alone (that gather instant fuel consumption) seeking for a less expensive solution. We evaluate diferente machine learning approaches and algorithms and diferente inputs attributes, achieving significant results.
Journal: Applied Artificial Intelligence
Year: 2019
Volume: v. 33
Pages: p. 902-912
DOI: https://doi.org/10.1080/08839514.2019.1646019
Year of publication: 2019
Available at: https://www.tandfonline.com/doi/full/10.1080/08839514.2019.1646019
Publisher and ISSN: Taylor & Francis