Modelling Crowd Dynamics: a Multiscale, Measure-theoretical Approach
Joep Evers

TL;DR
This paper introduces a multiscale, measure-theoretical model of crowd dynamics that unifies macro and micro perspectives, incorporates thermodynamic principles, and demonstrates solution existence, uniqueness, and numerical approximation.
Contribution
It develops a novel measure-theoretical framework coupling micro and macro models, ensuring thermodynamic consistency and providing a robust numerical scheme for crowd behavior simulation.
Findings
Model aligns with thermodynamics via entropy inequality.
Proves existence and uniqueness of solutions for the model.
Demonstrates two-scale micro-macro behavior through simulations.
Abstract
We present a strategy capable of describing basic features of the dynamics of crowds. The behaviour of the crowd is considered from a twofold perspective. We examine both the large scale behaviour of the crowd, and phenomena happening at the individual pedestrian's level. We unify micro and macro in a single model, by working with general mass measures and their transport. We improve existing modelling by coupling a measure-theoretical framework with basic ideas of mixture theory formulated in terms of measures. This strategy allows us to define several constituents of the crowd, each having its own partial velocity. We can thus examine the interaction between subpopulations that have distinct characteristics. We give special features to those pedestrians that are represented by the microscopic (discrete) part. In real life they would play the role of leaders, predators etc. Since we…
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 · Traffic control and management · Complex Network Analysis Techniques
