Cellular Automaton Approach to Pedestrian Dynamics - Applications
Carsten Burstedde, Ansgar Kirchner, Kai Klauck, Andreas Schadschneider, and Johannes Zittartz
TL;DR
This paper demonstrates how a cellular automaton model effectively simulates pedestrian behaviors like lane formation and evacuation, capturing key collective phenomena in pedestrian traffic.
Contribution
It applies a cellular automaton approach to model pedestrian dynamics, successfully reproducing self-organization effects and evacuation scenarios.
Findings
Model reproduces lane formation in counterflow
Captures oscillations at doors
Simulates evacuation processes effectively
Abstract
We present applications of a cellular automaton approach to pedestrian dynamics introduced in [1,2]. It is shown that the model is able to reproduce collective effects and self-organization phenomena encountered in pedestrian traffic, e.g. lane formation in counterflow through a large corridor and oscillations at doors. Furthermore we present simple examples where the model is applied to the simulation of evacuation processes.
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Taxonomy
TopicsEvacuation and Crowd Dynamics · Traffic control and management · Traffic Prediction and Management Techniques