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These results demonstrate empirically that MARL-Ped generates variate plausible behaviors, producing human-like macroscopic pedestrian flow.
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This paper presents a macroscopic dynamic model for pedestrian flow with degrading spatial information.
In this paper, a higher-order macroscopic model for bi-direction pedestrian flow is presented to investigate macroscopic crowd patterns of bi-direction pedestrian movement.
Secondly, pedestrian flow models (macroscopic or microscopic) can be evaluated using empirical fundamental diagrams and it justifies the model capability in simulating pedestrian streams.
Numerical examples are designed to investigate macroscopic features and path-choice behaviors of pedestrian flow.
Fruin [5] observed pedestrian flow characteristics based on macroscopic approach, which was adopted by TRB in 1985.
The relationship between pedestrian flow parameters can be described using macroscopic fundamental diagram (MFD).
Interrelationship between pedestrian flow parameters can be explained quantitatively using macroscopic flow diagrams.
Relationship between pedestrian flow parameters were modelled with the evaluation of macroscopic flow parameters analytically.
Mathematically, pedestrian flow characteristics are defined in terms of speed density models based on macroscopic approach since 1960.
These included lanes of uniform walking directions, oscillations of the pedestrian flow at bottlenecks, and "stripes" of intersecting flows.
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