Dynamic Medium Scale Navigation Using Dynamic Floor Fields
Dirk Hartmann (),
Jana Mille,
Alexander Pfaffinger () and
Christian Royer ()
Additional contact information
Dirk Hartmann: Siemens AG, Corporate Technology
Jana Mille: Siemens AG, Corporate Technology
Alexander Pfaffinger: Siemens AG, Corporate Technology
Christian Royer: Siemens AG, Corporate Technology
A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 1237-1249 from Springer
Abstract:
Abstract This contribution considers a new method for dynamic medium scale navigation in microscopic pedestrian simulators. The concept of static navigation floor fields is extended to a dynamic interpretation following ideas of (Kretz, T, Journal of Statistical Mechanics: Theory and Experiment, P03012, 2009) and (Hartmann, D, New Journal of Physics 12(4):043032, 2010) within a cellular automaton approach. Every few simulation steps a new floor field for navigation is constructed by solving the Eikonal equation on the dual grid of the underlying cellular automaton discretization. By considering other pedestrians directly in the construction of the floor field, the realism of the simulations is significantly increased. The new contribution of our work is to additionally consider walking directions of pedestrians. This leads to a significant increase in the realism of simulations. The increased realism of the new concept is underlined by simulations of various example scenarios proposed in the literature. These show that the method is capable of reproducing a number of phenomena, e.g. lane formation.
Keywords: Microscopic model; Navigation; Floor field; Dynamic floor field; Eikonal equation; Fast marching method; Pedestrian flows; Pedestrian crowds (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02447-9_102
Ordering information: This item can be ordered from
http://www.springer.com/9783319024479
DOI: 10.1007/978-3-319-02447-9_102
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().