Cellular automata (CA) and ordinary differential equation (ODE) models compete for dominance in microscopic pedestrian dynamics. There are two major differences ...
From Cellular Automata to Differential Equation Models for Pedestrian ...
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May 8, 2014 · Cellular automata (CA) and ordinary differential equation (ODE) based models compete for dominance in microscopic pedestrian dynamics.
Cellular automata (CA) and ordinary differential equation (ODE) models compete for dominance in microscopic pedestrian dynamics.
Cellular automata (CA) and ordinary differential equation (ODE) models compete for dominance in microscopic pedestrian dynamics.
TL;DR: A force-based model is introduced which produces realistic jam dynamics without the appearance of unrealistic negative speeds for empirical desired ...
Bridging the Gap: From Cellular Automata to Differential Equation Models for Pedestrian Dynamics. Lecture Notes in Computer Science.
In this paper, we examine pedestrian population dynamics using agent-based cellular automata models. Each pedestrian is treated as an agent, mapped onto a ...
Felix Dietrich, Gerta Köster, Michael Seitz, Isabella von Sivers: Bridging the gap: From cellular automata to differential equation models for pedestrian ...
A fine discrete field cellular automaton for pedestrian dynamics integrating pedestrian heterogeneity, anisotropy, and time-dependent characteristics · Zhijian ...
We present a 2-dimensional cellular automaton model for the simulation of pedestrian dynamics. The model is extremely efficient and allows simulations of ...