Modeling the desired direction in a force-based model for pedestrian dynamics
Mohcine Chraibi, Martina Freialdenhoven, Andreas Schadschneider, and Armin Seyfried

TL;DR
This paper presents an improved force-based pedestrian dynamics model that incorporates a novel approach to desired direction using floor-field concepts, validated through numerical simulations against real-world data.
Contribution
It introduces a new method for modeling pedestrian desired direction within a force-based framework, combining concepts from cellular automata and empirical validation.
Findings
Model aligns well with empirical pedestrian movement data
Enhanced accuracy over previous force-based models
Demonstrates effectiveness of floor-field approach in pedestrian dynamics
Abstract
We introduce an enhanced model based on the generalized centrifugal force model. Furthermore, the desired direction of pedestrians is investigated. A new approach leaning on the well-known concept of static and dynamic floor-fields in cellular automata is presented. Numerical results of the model are presented and compared with empirical data.
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 · Urban Design and Spatial Analysis · Video Surveillance and Tracking Methods
