Monitoring Lane Formation of Pedestrians: Emergence and Entropy

Conference paper

DOI: 10.1007/978-3-319-15702-3_22

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9011)
Cite this paper as:
Procházka J., Olševičová K. (2015) Monitoring Lane Formation of Pedestrians: Emergence and Entropy. In: Nguyen N., Trawiński B., Kosala R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science, vol 9011. Springer, Cham

Abstract

This paper deals with self-organization phenomenon in qualitative microscopic pedestrian simulation. The agent-based pedestrian model in NetLogo is presented. Within the model, the lane formation is identified as the emerging pattern growing from counter flows of individuals. Information entropy is applied in analytical component of the model with the aim to measure the level of self-organization. Experimental results are provided.

Keywords

Pedestrian simulation Self-organization Information entropy Lane formation Multi-agent systems NetLogo 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.University of Hradec KrálovéHradec KrálovéCzech Republic

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