MSc Thesis: Pseudospectral train motion parameter estimation

MSc Thesis: Pseudospectral train motion parameter estimation (thesis performed together with NS)

Calibrating a Train Trajectory Optimizer requires an accurate estimation of the input parameters of the differential equation that models the train motion. To this end, the main objective of this project is to develop a Train Motion Parameter Estimation algorithm based on a direct transcription method, the pseudo spectral discretization. Such an algorithm can be used for calibrating several applications in the railway industry, leading ultimately to a more precise railway operation and planning, to optimize the networ kcapacity, to increase the punctuality rates and to provide an overall better service for passengers and freight companies.

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