Characterizing correlations of flow oscillations at bottlenecks
Tobias Kretz, Marko Woelki, and Michael Schreckenberg
TL;DR
This paper introduces a model for pedestrian flow oscillations at bottlenecks, using statistical tests to characterize different oscillation types, advancing understanding of complex particle interactions.
Contribution
It presents a novel pedestrian flow model capable of reproducing various oscillation behaviors and applies statistical methods to characterize these oscillations.
Findings
The model successfully reproduces different oscillation characteristics.
Wald-Wolfowitz test and Gillis' correlated random walk effectively characterize oscillation types.
The approach enhances understanding of flow dynamics at bottlenecks.
Abstract
"Oscillations" occur in quite different kinds of many-particle-systems when two groups of particles with different directions of motion meet or intersect at a certain spot. We present a model of pedestrian motion that is able to reproduce oscillations with different characteristics. The Wald-Wolfowitz test and Gillis' correlated random walk are shown to hold observables that can be used to characterize different kinds of oscillations.
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