arXiv · 2308.07450
Time-continuous microscopic pedestrian models: an overview
Abstract
We give an overview of time-continuous pedestrian models with a focus on data-driven modelling. Starting from pioneer, reactive force-based models we move forward to modern, active pedestrian models with sophisticated collision-avoidance and anticipation techniques through optimisation problems. The overview focuses on the mathematical aspects of the models and their different components. We include methods used for data-based calibration of model parameters, hybrid approaches incorporating neural networks, and purely data-based models fitted by deep learning. The conclusion outlines some development perspectives that we expect to grow in the coming years.
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Raphael Korbmacher, Alexandre Nicolas, Antoine Tordeux, Claudia Totzeck. 2023-08-14. Time-continuous microscopic pedestrian models: an overview. https://arxiv.org/abs/2308.07450
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