The highs and lows of short-term anticipation in models for pedestrian dynamics: From groping to probing the imminent future

Anticipation manifests itself at various levels in pedestrian dynamics. This paper aims to clarify its impact on the modeling of local navigation, by shedding light on two facets of anticipation over the near future, one related to the others’ motion and the other one related to the agent’s own prospective motion. We start by observing that in simple (‘reactive’) models anticipation is completely missing, whereas in velocity-based models, it generally rests on linear extrapolation, with the use of e.g. time-to-collision metrics. Focusing on a crossing scenario, in which a pedestrian has to cross a static crowd, we pinpoint some of the ensuing limitations. We conclude by presenting preliminary data on a modeling framework that attempts to bridge the gap between the above mainstream models and full blown game theory.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-12
DOI
https://doi.org/10.1051/epjconf/202533404023/pdf
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

The highs and lows of short-term anticipation in models for pedestrian dynamics: From groping to probing the imminent future

Alexis Raulin-Foissac
Springer Link (Chiba Institute of Technology)
Evacuation and Crowd Dynamics
article

The highs and lows of short-term anticipation in models for pedestrian dynamics: From groping to probing the imminent future

Alexis Raulin-Foissac
article en

Abstract

Anticipation manifests itself at various levels in pedestrian dynamics. This paper aims to clarify its impact on the modeling of local navigation, by shedding light on two facets of anticipation over the near future, one related to the others’ motion and the other one related to the agent’s own prospective motion. We start by observing that in simple (‘reactive’) models anticipation is completely missing, whereas in velocity-based models, it generally rests on linear extrapolation, with the use of e.g. time-to-collision metrics. Focusing on a crossing scenario, in which a pedestrian has to cross a static crowd, we pinpoint some of the ensuing limitations. We conclude by presenting preliminary data on a modeling framework that attempts to bridge the gap between the above mainstream models and full blown game theory.

Springer Link (Chiba Institute of Technology)
Sustainable cities and communities
Openalex Percentile: Top 31%
Evacuation and Crowd Dynamics
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