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A Predictive Collision Avoidance Model for Pedestrian Simulation

  • Ioannis Karamouzas
  • Peter Heil
  • Pascal van Beek
  • Mark H. Overmars
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5884)

Abstract

We present a new local method for collision avoidance that is based on collision prediction. In our model, each pedestrian predicts possible future collisions with other pedestrians and then makes an efficient move to avoid them. Experiments show that the new approach leads to considerably shorter and less curved paths, ensuring smooth avoidance behaviour and visually compelling simulations. The method reproduces emergent behaviour like lane formation that have been observed in real crowds. The technique is easy to implement and is fast, allowing the simulation in real time of crowds of thousands of pedestrians.

Keywords

collision avoidance interaction pedestrian simulation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ioannis Karamouzas
    • 1
  • Peter Heil
    • 1
  • Pascal van Beek
    • 1
  • Mark H. Overmars
    • 1
  1. 1.Center for Advanced Gaming and SimulationUtrecht UniversityThe Netherlands

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