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Wayfinding and Cognitive Maps for Pedestrian Models

  • Erik AndresenEmail author
  • David Haensel
  • Mohcine Chraibi
  • Armin Seyfried
Conference paper

Abstract

Usually, routing models in pedestrian dynamics assume that agents have fulfilled 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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This research is founded by the Deutsche Forschungsgemeinschaft (DFG) contract No. GZ: SE 17894-1.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Erik Andresen
    • 1
    Email author
  • David Haensel
    • 2
  • Mohcine Chraibi
    • 2
  • Armin Seyfried
    • 1
    • 2
  1. 1.Faculty of Architecture and Civil EngineeringBergische Universität WuppertalWuppertalGermany
  2. 2.Jülich Supercomputing CenterForschungszentrum Jülich GmbHJülichGermany

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