Eight RailTEC faculty, staff, and students traveled to Birmingham, UK for the 13th World Congress on Railway Research (WCRR). WCRR was held 6 – 10 June 2022 and is a major gathering for the global railway research and innovation community to exchange state-of-the-art ideas and develop connections with other research institutions. The theme for the 2022 conference was “Reshaping our railways post-pandemic: Research with an impact”. RailTEC gave four oral presentations and three interactive presentations. The presentations were:
Benchmarking Safety of Connected Railway Systems: An International Case Study of the United States and Canada
Chen-Yu Lin¹, Theodore Gerstein¹, Christopher Barkan¹
(¹Rail Transportation and Engineering Center (RailTEC), University of Illinois at Urbana-Champaign, Urbana, The United States of America)
Comparing Different Train Following Control Algorithms for Platoons of Freight Trains Operating with Moving Blocks
Tyler Dick¹, Geordie Roscoe¹
(¹University of Illinois Urbana-Champaign, Urbana, The United States of America )
Engineered Interspersed Concrete Sleeper Track Modulus Assessment In Ballasted Track
Arthur de O. Lima¹, Marcus S. Dersch¹, Jaeik Lee¹, J. Riley Edwards¹
(¹RailTEC – University of Illinois at Urbana-Champaign, Urbana, The United States of America)
Evaluating the Effectiveness of Virtual and Moving Block Control Systems on a Long and Complex North American Freight Rail Corridor
Geordie Roscoe¹, Tyler Dick¹
(¹RailTEC – University of Illinois at Urbana-Champaign, Urbana, The United States of America)
Improving Understanding of Railroad Tank Wagon Performance in Accidents Through Simulation-Based Derailment Analyses
Steven Kirkpatrick¹, Todd Treichel², Christopher Barkan³, Chen-Yu Lin³, Leandro Iannacone³, Paul Gharzouzi³, Paolo Gardoni³
(¹Applied Research Associates, Inc., Mountain View, The United States of America, ²Association of American Railroads, Washington, D.C., The United States of America, ³University of Illinois at Urbana-Champaign, Urbana, The United States of America)
Optimal Strategies for Dangerous-Goods Wagon Placement in Freight Trains: A Probabilistic Modeling Approach
Chen-Yu Lin¹, Xinhao Liu¹, Christopher Barkan¹
(¹Rail Transportation and Engineering Center (RailTEC), University of Illinois at Urbana-Champaign, Urbana, The United States of America)
Use of 3D Laser Scanning, Deep Convolutional Neural Networks (DCNNs), & Change Detection Technology for Railway Track Safety Inspections
Riley Edwards¹, Richard Fox-Ivey², Arthur de O. Lima¹, John Laurent², Marcus S. Dersch¹, Thanh Nguyen², Ryan Harrington¹, Ian Germoglio Barbosa¹
(¹University of Illinois at Urbana Champaign, Urbana, The United States of America, ² Pavemetrics, Quebec City, Canada)