Wayfinding and Cognitive Maps for Pedestrian Models

Erik Andresen (), David Haensel (), Mohcine Chraibi () and Armin Seyfried ()
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Erik Andresen: Bergische Universität Wuppertal, Faculty of Architecture and Civil Engineering
David Haensel: Forschungszentrum Jülich GmbH, Jülich Supercomputing Center
Mohcine Chraibi: Forschungszentrum Jülich GmbH, Jülich Supercomputing Center
Armin Seyfried: Bergische Universität Wuppertal, Faculty of Architecture and Civil Engineering

A chapter in Traffic and Granular Flow '15, 2016, pp 249-256 from Springer

Abstract: Abstract Usually, routingAndresen, Erik models in pedestrianHaensel, David dynamics assume that agentsChraibi, Mohcine have fulfilledSeyfried, Armin and global knowledge about the building’s structure. However, they neglect the fact that pedestrians possess no or only parts of information about their position relative to final exits and possible routes leading to them. To get a more realistic description we introduce the systematics of gathering and using spatial knowledge. A new wayfinding model for pedestrian dynamics is proposed. The model defines for every pedestrian an individual knowledge representation implying inaccuracies and uncertainties. In addition, knowledge-driven search strategies are introduced. The presented concept is tested on a fictive example scenario.

Keywords: Traffic Flow Model; Tactical Level; Exit Area; Actual Room; Short Path Calculation (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-33482-0_32

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DOI: 10.1007/978-3-319-33482-0_32

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