Pedestrian flow modeling is the mathematical and computational study of how individuals and groups move through space, encompassing both microscopic approaches that simulate individual agent behavior (such as social force models, cellular automata, and granular models) and macroscopic approaches that treat crowds as continuous density fields governed by fluid-like or potential-field equations. It matters for the field because it provides the theoretical and algorithmic foundations for understanding, predicting, and managing crowd dynamics in real-world scenarios such as emergency evacuation, urban planning, and safety engineering. Key variants include microscopic models that resolve individual interactions and trajectories, macroscopic continuum models based on density navigation or equipotential fields, and hybrid multi-layer approaches that combine both paradigms to balance computational efficiency with behavioral realism.
Source Papers
- Continuum theory for pedestrian traffic flow: Local route choice modelling and its implications ↗ — Continuum theory for pedestrian traffic flow: Local route ch
- Physics of Human Crowds ↗ — Physics of Human Crowds
- State-of-the-art crowd motion simulation models ↗ — State-of-the-art crowd motion simulation models
- The Flow of Human Crowds ↗ — The Flow of Human Crowds