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000848087 1001_ $$0P:(DE-HGF)0$$aTordeux, Antoine$$b0$$eCorresponding author
000848087 245__ $$aA mesoscopic model for large-scale simulation of pedestrian dynamics
000848087 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2018
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000848087 520__ $$aA mesoscopic pedestrian model is proposed, considering pedestrians as individuals and describing their movement by means of aggregate density-flow relationships. The model builds on a stochastic process, describing transition rates among adjacent sites on a lattice. Each lattice can contain several pedestrians. The approach is minimal and fast to simulate, and, by construction, capable of capturing population heterogeneity as well as variability in walking behaviour and en-route path choice. The model is more efficient than microscopic models, and potentially more accurate than macroscopic ones. We calibrate and validate the model using real data and carry out several numerical experiments to present its key properties and possible applications for simulation of large-scale scenarios.
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000848087 7001_ $$0P:(DE-HGF)0$$aLämmel, Gregor$$b1
000848087 7001_ $$0P:(DE-HGF)0$$aHänseler, Flurin S.$$b2
000848087 7001_ $$0P:(DE-Juel1)132269$$aSteffen, Bernhard$$b3
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