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Proceedings Papers

Intelligent Transit Thru Imaging: Using CCTV Cameras for Evaluating Real Time Demand

Kshitij Saxena
Proc. ASME. JRC2022, 2022 Joint Rail Conference, V001T09A004, April 20–21, 2022
Paper No: JRC2022-78323
DOI: https://doi.org/10.1115/JRC2022-78323
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Topics: Accidents, Artificial intelligence, Computer software, Control equipment, Data privacy, Density, Ethics, Heat, Imaging, Machine learning
Proceedings Papers

Landslide Risk Assessment in Cut Locations Using Right of Way Videos and Artificial Intelligence

Michael Palese, Allan M. Zarembski, Joseph Palese
Proc. ASME. JRC2022, 2022 Joint Rail Conference, V001T01A002, April 20–21, 2022
Paper No: JRC2022-78162
DOI: https://doi.org/10.1115/JRC2022-78162
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Topics: Algorithms, Artificial intelligence, Artificial neural networks, Computers, Construction, Damage, Failure, Inspection, Landslide risk, Landslides
Proceedings Papers

Advanced Enterprise Asset Management Systems: Improve Predictive Maintenance and Asset Performance by Leveraging Industry 4.0 and the Internet of Things (IoT)

Sandeep Bhanji, Howard Shotz, Sravani Tadanki, Youssef Miloudi, Patrick Warren
Proc. ASME. JRC2021, 2021 Joint Rail Conference, V001T12A002, April 20–21, 2021
Paper No: JRC2021-58346
DOI: https://doi.org/10.1115/JRC2021-58346
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Topics: Internet of things, Maintenance, Rails, Artificial intelligence, Augmented reality, Machine learning, Mechanical admittance, Railroads, Reliability, Sensors
Proceedings Papers

Probabilistic Risk Analysis of Broken Rail-Caused Train Derailments

Zhipeng Zhang, Kang Zhou, Xiang Liu
Proc. ASME. JRC2020, 2020 Joint Rail Conference, V001T08A013, April 20–22, 2020
Paper No: JRC2020-8100
DOI: https://doi.org/10.1115/JRC2020-8100
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Topics: Rails, Risk analysis, Trains, Probability, Risk, Railroads, Automobiles, Traffic, Artificial intelligence, Inspection
Proceedings Papers

Case Studies in Planning Railroad Crew Members

Joa˜o P. Martins, Ernesto M. Morgado
Proc. ASME. JRC2010, 2010 Joint Rail Conference, Volume 2, 535-544, April 27–29, 2010
Paper No: JRC2010-36235
DOI: https://doi.org/10.1115/JRC2010-36235
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Topics: Railroads, Artificial intelligence, Computer software, Engineers, Personnel management, Rails, Subways
Proceedings Papers

Rail-CR: Cognitive Radio for Enhanced Railway Communication

Ashwin Amanna, Manik Gadhiok, Matthew J. Price, Jeffrey H. Reed, W. Pam Siriwongpairat, T. Kee Himsoon
Proc. ASME. JRC2010, 2010 Joint Rail Conference, Volume 1, 467-473, April 27–29, 2010
Paper No: JRC2010-36201
DOI: https://doi.org/10.1115/JRC2010-36201
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Topics: Railroads, Rails, Computer software, Radio equipment, Algorithms, Decision making, Artificial intelligence, Cutting, Engines, Hardware
Proceedings Papers

Ultrasonic Guided Wave Inspection of Rail Defects Under Shelling

Thomas Hay, Subash Jayaraman, Robert Hay
Proc. ASME. JRC2009, 2009 Joint Rail Conference, 47-50, March 4–5, 2009
Paper No: JRC2009-63014
DOI: https://doi.org/10.1115/JRC2009-63014
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Topics: Guided wave ultrasonic testing, Rails, Acoustics, Artificial intelligence, Computer software, Engines, Inspection, Pattern recognition, Transducers, Ultrasound
Proceedings Papers

Railway Bridge Structural Health Monitoring Using Wireless Acoustic Emission Sensor Network

Thomas Hay, Subash Jayaraman, Akos Ledeczi, Peter Volgyesi, Robert Hay
Proc. ASME. JRC2009, 2009 Joint Rail Conference, 57-61, March 4–5, 2009
Paper No: JRC2009-63018
DOI: https://doi.org/10.1115/JRC2009-63018
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Topics: Acoustic emissions, Bridges (Structures), Railroads, Sensor networks, Structural health monitoring, Instrumentation, Maintenance, Strain gages, Stress, Trains