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[02907] Robust Train Trajectory Optimization

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @G402
  • Type : Contributed Talk
  • Abstract : Variating operating conditions may produce delays in railways. We model the Robust Train Trajectory Optimization (RTTO) problem aiming to minimize the impact of model parameter uncertainty on the calculated energy-efficient trajectories, which would be drivable under any of the considered operating conditions. We analyze RTTO using the Robust Maximum Principle, reformulate the problem as a Quadratically-Constrained Quadratic Programming problem and showcase the performance of the model in a real case study.
  • Classification : 34H05, 49K35, 93-08, 90C47, 90C25
  • Format : Talk at Waseda University
  • Author(s) :
    • Alex Cunillera (Delft University of Technology)
    • Ramon M. Lentink (Nederlandse Spoorwegen)
    • Niels van Oort (Delft University of Technology)
    • Rob M. P. Goverde (Delft University of Technology)