Train trajectory optimization under parametric uncertainty and robust maximum principle analysis

Conference paper (2022)

Authors

Alex Cunillera Transport and Planning - CEG
Ramon Lentink Nederlandse Spoorwegen
N. van Oort Transport and Planning - CEG
R.M.P. Goverde Transport and Planning - CEG
Research Group
Transport and Planning (CEG) (TU Delft)
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Published Date

2022

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

In the paper the observed parameter variations of a single train into the trajectory
optimization problem is incorporated. The computed trajectories should be energyefficient and
robust with respect to the realized parameter configuration. A new approach for modelling the
Train Trajectory Optimization problem under parametric uncertainty in terms of a minimax
optimal control problem with a finite set of observed parameter configurations presented.

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