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Wayfinding and Cognitive Maps for Pedestrian Models

In: Traffic and Granular Flow '15

Author

Listed:
  • 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
    Forschungszentrum Jülich GmbH, Jülich Supercomputing Center)

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.

Suggested Citation

  • Erik Andresen & David Haensel & Mohcine Chraibi & Armin Seyfried, 2016. "Wayfinding and Cognitive Maps for Pedestrian Models," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 249-256, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_32
    DOI: 10.1007/978-3-319-33482-0_32
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