Recent applications of big data analytics in railway transportation systems: A survey F Ghofrani, Q He, RMP Goverde, X Liu Transportation Research Part C: Emerging Technologies 90 (May), 226-246, 2018 | 351 | 2018 |
Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects R Mohammadi, Q He, F Ghofrani, A Pathak, A Aref Transportation research part C: emerging technologies 102, 153-172, 2019 | 83 | 2019 |
Predicting rail defect frequency: An integrated approach using fatigue modeling and data analytics F Ghofrani, A Pathak, R Mohammadi, A Aref, Q He Computer‐Aided Civil and Infrastructure Engineering 35 (2), 101-115, 2020 | 38 | 2020 |
Analyzing risk of service failures in heavy haul rail lines: A hybrid approach for imbalanced data F Ghofrani, H Sun, Q He Risk analysis 42 (8), 1852-1871, 2022 | 16 | 2022 |
Bayesian survival approach to analyzing the risk of recurrent rail defects F Ghofrani, Q He, R Mohammadi, A Pathak, A Aref Transportation research record 2673 (7), 281-293, 2019 | 16 | 2019 |
Rail breaks arrival rate prediction: A physics-informed data-driven analysis for railway tracks F Ghofrani, S Yousefianmoghadam, Q He, A Stavridis Measurement 172, 108858, 2021 | 10 | 2021 |
Forecasting risk of service failures between successive rail inspections: a data-driven approach F Ghofrani, NK Chava, Q He Journal of Big Data Analytics in Transportation 2, 17-31, 2020 | 9 | 2020 |
Experimental and Simulation Validation of Piezoelectric Road Energy Harvesting A Sherren, K Fink, J Eshelman, LY Taha, S Anwar, C Brennecke, ... Open Journal of Energy Efficiency 11 (3), 122-141, 2022 | 7 | 2022 |
Intelligent construction for the transportation infrastructure: a review Q He, F Ghofrani, T Gao, P Wang, C He, Y Li, C Ai Intelligent Transportation Infrastructure 1, liac007, 2022 | 6 | 2022 |
Data-driven railway track deterioration modeling for predictive maintenance F Ghofrani State University of New York at Buffalo, 2020 | 6 | 2020 |
Exploring the relationship between foot-by-foot track geometry and rail defects: a data-driven approach R Mohammadi, Q He, F Ghofrani, A Pathak, A Aref Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | 4 | 2019 |
Concurrent Locomotive Assignment and Freight Train Scheduling. M Yaghini, F Ghofrani, M Karimi, M Esmi-Zadeh International Journal of Engineering Science (2008-4870) 27 (4), 2016 | 2 | 2016 |
Data Analysis of Failures of Signaling and Communication Equipment in Iranian Railways using Data Mining Techniques M Yaghini, F Ghofrani, S Molla, M Amereh, B Javanbakht JOURNAL OF TRANSPORTATION RESEARCH 11 (441), 379-389, 2015 | 2 | 2015 |
Smart Switch: The Application of Fiber Optic Continuous Strain Sensing to the Railroad Turnouts FJ Smith, F Ghofrani ASME/IEEE Joint Rail Conference 85758, V001T09A009, 2022 | | 2022 |
Rail Service Failure Prediction: An Integrated Approach Using Fatigue Modeling and Data Analytics F Ghofrani, S Yousefianmoghadam, Q He, A Stavridis | | 2019 |