Participation at AREMA 2020 Virtual Conference


Faculty, staff, students and alumni participated in the American Railway Engineering and Maintenance-of-Way Association (AREMA) 2020 Virtual Conference & Expo on September 13 – 17, 2020. RailTEC was represented by 11 presentations and two alumni served on the Meet the Next Generation Panel Discussion. The National University Rail (NURail) Center, a rail-focused seven university consortium led by RailTEC, had a virtual booth.

RailTEC presentations were:

  • Quantifying the Relative Influence of Classification Yard Performance Factors
    Tyler Dick, PhD, PE, University of Illinois Urbana-Champaign
  • A Risk Management Tool to Evaluate Adjacent Track Accidents on Shared-Use Rail Corridors
    Chen-Yu Lin, University of Illinois Urbana-Champaign
  • Track Technical Presentation: Field Investigation of Load Environment in Revenue Service Track with Railroad Spike Failures Systems
    Marcus S. Dersch, PE, Matheus Trizotto and Christian Khachaturian, University of Illinois Urbana-Champaign
  • Laboratory Structural Investigation of the of Heavy Rail Transit Direct Fixation Fastening System Capacity
    Arthur De Oliveira Lima, University of Illinois Urbana-Champaign and Ravi Amin, PE, Washington Metropolitan Area Transit Authority (WMATA)
  • Understanding Influences on Student Pursuit of Railway Education and Careers
    Lee Evans, University of Illinois Urbana-Champaign
  • Using Advanced PTC with Moving Blocks to Improve the Operational Feasibility of Short Trains on Single-Track Rail Corridors
    Adrian Diaz De Rivera, University of Illinois at Urbana-Champaign
  • Artificial Intelligence-Aided Prediction of Broken Rail Occurrence Using Railroad Big Data
    Xiang Liu, Rutgers, The State University of New Jersey
  • Artificial Intelligence-Aided Railroad Trespassing Data Analytics based On Camera Video Data at Grade Crossings
    Xiang Liu, Rutgers, The State University of New Jersey
  • Adaptive Prestressing System for Concrete Crossties using Shape Memory Alloys and Steel
    Minsoo Sung and Bassem Andrawes, PhD, University of Illinois Urbana-Champaign
  • History of Heavy Axle Load Subgrade Research at Facility for Accelerated Service Testing (FAST)
    Stephen Wilk, PhD, Transportation Technology Center, Inc. (TTCI)
  • Using LIDAR To Detect Rockfall – A Case Study of Using COTS Equipment for a Safety Critical Application
    Paul Shih, BNSF Railway and Mark Aston, LB Foster

    RailTEC alumni Meet the Next Generation Panel Discussion participants were Anna Delheimer – BNSF Railway (top row, center) and Giovanni DiDomenico – Kiewit Engineering Group (top row, right).