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Applied Pedestrian Modeling

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Agent-Based Models of Geographical Systems

Abstract

With an increasing world population and with more cost effective transportation, mass gatherings become ever more frequent. The total size of such gatherings is often as large as millions of people. Furthermore, everyday life in cities becomes increasingly crowded with people. This development has prompted better solutions to mitigate crowded places and make them safer as well as more efficient in terms of travel time. One way to approach this crowd problem is to use crowd modeling tools to assess and optimize locations where pedestrian crowds move around. Within the last decade, crowd modeling has become a mature science and there now exist well calibrated pedestrian models that can reproduce empirically observed crowd features. In this chapter, we will introduce the field of crowd modeling, explain how crowd models can be calibrated with empirical data, and expand a bit on how navigation works in these models.

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Author information

Authors and Affiliations

  1. Centre for Applied Spatial Analysis (CASA), University College London, London, UK

    Anders Johansson

  2. PTV AG, Stumpfstraße 1, D-76131, Karlsruhe, Germany

    Tobias Kretz

Authors
  1. Anders Johansson
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  2. Tobias Kretz
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Corresponding author

Correspondence to Anders Johansson .

Editor information

Editors and Affiliations

  1. School of Geography, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, United Kingdom

    Alison J. Heppenstall

  2. , Department of Computational Social Scien, George Mason University, University Drive 4400, Fairfax, 22030, Virginia, USA

    Andrew T. Crooks

  3. International Institute of Applied Syste, Schlossplatz 1, Laxenburg, 2361, Austria

    Linda M. See

  4. Ctr. Advanced Spatial Analysis, University College London, Torrington Place 1-19, London, WC1E 6BT, United Kingdom

    Michael Batty

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Johansson, A., Kretz, T. (2012). Applied Pedestrian Modeling. In: Heppenstall, A., Crooks, A., See, L., Batty, M. (eds) Agent-Based Models of Geographical Systems. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8927-4_21

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