Funder
University of Nevada, Las Vegas (UNLV/USDOT)
University Transportation Center
Subject
Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering
Reference45 articles.
1. The effects of tamping on railway track geometry degradation;Audley;Proc. Inst. Mech. Eng., Part F: J. Rail Rapid Transit,2013
2. Classification-learning-based framework for predicting railway track irregularities;Bai;Inst. Mech. Eng., Part F: J. Rail Rapid Transit,2016
3. Evaluating track geometrical quality through different methodologies;Berawi;Int. J. Technol.,2010
4. Bergmeir, C., Sáinz, G., Martínez Bertrand, C., Benítez, J.M., 2013. A study on the use of machine learning methods for incidence prediction in high-speed train tracks. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7906 LNAI, pp. 674–683.
5. Ciobanu, C., 2016. Evaluation of the Track Quality. .
Cited by
94 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献