Microscopic dynamics of the evacuation phenomena
F.E. Cornes, G.A. Frank, C.O. Dorso

TL;DR
This study analyzes pedestrian evacuation dynamics using the Social Force Model, revealing how cluster formations influence delays and efficiency during escape, with different behaviors observed at varying anxiety levels and desired velocities.
Contribution
It provides new insights into the microscopic cluster structures and their impact on evacuation regimes, especially distinguishing between 'faster is slower' and 'faster is faster' phenomena.
Findings
Giant clusters characterize the 'faster is faster' regime.
Blocking clusters attached to walls cause delays in the 'faster is slower' regime.
Small clusters are relevant at very low velocities, while larger clusters appear at intermediate velocities.
Abstract
We studied the room evacuation problem within the context of the Social Force Model. We focused on a system of 225 pedestrians escaping from a room in different anxiety levels, and analyzed the clogging delays as the relevant magnitude responsible for the evacuation performance. We linked the delays with the clusterization phenomenon along the "faster is slower" and the "faster is faster" regimes. We will show that the "faster is faster" regime is characterized by the presence of a giant cluster structure (composed by more than 15 pedestrians), although no long lasting delays appear within this regime. For this system, we found that the relevant structures in the "faster is slower" regime are those blocking clusters that are somehow attached to the two walls defining the exit. At very low desired velocities, very small structures become relevant (composed by less than 5 pedestrians),…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEvacuation and Crowd Dynamics · Data Visualization and Analytics · Traffic control and management
