Concept of a Decision-Based Pedestrian Model

Cornelia von Krüchten; Andreas Schadschneider

doi:10.17815/CD.2020.65

Authors

Cornelia von Krüchten Institut für Theoretische Physik, Universität zu Köln, Cologne, Germany
Andreas Schadschneider Institut für Theoretische Physik, Universität zu Köln, Cologne, Germany and Institut für Physikdidaktik, Universität zu Köln, Cologne, Germany

DOI:

https://doi.org/10.17815/CD.2020.65

Keywords:

modelling, perception, decision-based model, distance-to-collision, shdv model

Abstract

We develop a decision-based model for pedestrian dynamics which is an extension of the Stochastic Headway Distance Velocity (SHDV) model for single-file motion to two dimensions. The model is discrete in time, but continuous in space. It combines perception, anticipation and decision-making with the simplicity and stochasticity that are characteristic for cellular automaton models. The basic concept is discussed and preliminary results show that the model yield realistic trajectories and fundamental diagrams.

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