QUICKEST PATHS IN SIMULATIONS OF PEDESTRIANS

Tobias Kretz (), GROßE Andree (), Stefan Hengst (), Lukas Kautzsch (), Andrej Pohlmann () and Peter Vortisch ()
Additional contact information
Tobias Kretz: PTV Planung Transport Verkehr AG, Stumpfstr. 1, D-76131 Karlsruhe, Germany
GROßE Andree: PTV Planung Transport Verkehr AG, Stumpfstr. 1, D-76131 Karlsruhe, Germany
Stefan Hengst: PTV Planung Transport Verkehr AG, Stumpfstr. 1, D-76131 Karlsruhe, Germany
Lukas Kautzsch: PTV Planung Transport Verkehr AG, Stumpfstr. 1, D-76131 Karlsruhe, Germany
Andrej Pohlmann: PTV Planung Transport Verkehr AG, Stumpfstr. 1, D-76131 Karlsruhe, Germany
Peter Vortisch: Institut für Verkehrswesen, Karlsruhe Institute of Technology (KIT), D-76128 Karlsruhe, Germany

Advances in Complex Systems (ACS), 2011, vol. 14, issue 05, 733-759

Abstract: This contribution proposes a method to make agents in a microscopic simulation of pedestrian traffic walk approximately along a path of estimated minimal remaining travel time to their destination. Usually models of pedestrian dynamics are (implicitly) built on the assumption that pedestrians walk along the shortest path. Model elements formulated to make pedestrians locally avoid collisions and intrusion into personal space do not produce motion on quickest paths. Therefore a special model element is needed, if one wants to model and simulate pedestrians for whom travel time matters most (e.g. travelers in a station hall who are late for a train). Here such a model element is proposed, discussed and used within the Social Force Model.

Keywords: Simulation; crowd; pedestrian; traffic; navigation; quickest path (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525911003281
Access to full text is restricted to subscribers

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:wsi:acsxxx:v:14:y:2011:i:05:n:s0219525911003281

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525911003281

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().