Efficient Quantification of Model Uncertainties When De-boarding a Train

Florian Künzner, Tobias Neckel, Hans-Joachim Bungartz, Felix Dietrich, Gerta Köster

Abstract


It is difficult to provide live simulation systems for decision support. Time is limited and uncertainty quantification requires many simulation runs. We combine a surrogate model with the stochastic collocation method to overcome time and storage restrictions and show a proof of concept for a de-boarding scenario of a train.

Keywords


pedestrian dynamics; uncertainty quantification; surrogate models

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DOI: http://dx.doi.org/10.17815/CD.2020.104

Copyright (c) 2020 Florian Künzner, Tobias Neckel, Hans-Joachim Bungartz, Felix Dietrich, Gerta Köster

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