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Part of book or chapter of book
License: CC BY NC SA
Data sources: UnpayWall
https://doi.org/10.1007/117842...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2024
Data sources: DBLP
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Simulating Pedestrian Behavior with Potential Fields

Authors: Fábio Dapper; Edson Prestes e Silva Jr.; Marco Aurélio Pires Idiart; Luciana Porcher Nedel;

Simulating Pedestrian Behavior with Potential Fields

Abstract

The main challenges of realistically simulating the displacement of humanoid pedestrians are twofold: they need to behave realistically and they should accomplish their tasks. Here we present a field potential formalism, based upon boundary value problems, that allows a group of synthetic actors to move negotiating space, avoiding collisions, attaining goals in prescribed sequences while at same time producing very individual paths. The individuality of each pedestrian can be set by changing its inner field parameters. This leads to a broad range of possible behaviors without jeopardizing its task performance. Simulate situations as behavior in corridors, collision avoidance and competition for a goal are presented and discussed.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Top 10%
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