EconPapers    
Economics at your fingertips  
 

Microscopic Pedestrian Simulations: From Passenger Exchange Times to Regional Evacuation

Gerta Köster (), Dirk Hartmann () and Wolfram Klein ()
Additional contact information
Gerta Köster: University of Applied Sciences
Dirk Hartmann: Siemens AG, Corporate Technology
Wolfram Klein: Siemens AG, Corporate Technology

A chapter in Operations Research Proceedings 2010, 2011, pp 571-576 from Springer

Abstract: Abstract Pedestrian dynamics play an important role in diverse fields of application such as optimizing traffic logistics, e.g. the optimization of passenger exchange times, or egress planning of buildings, infrastructures and even whole regions. Quantitative predictions of pedestrian dynamics, namely of egress times, is an essential part of optimizing pedestrian flows. To obtain quantitative results simulations must be as realistic as possible. Here, we present a new microscopic pedestrian simulator based on a cellular automaton. It reduces discretization artifacts as typically observed in cellular automaton models to a minimum without loosing their efficiency. It reliably captures typical crowd phenomena and can simulate up to 50000 pedestrians in real time.

Keywords: Cellular Automaton; Cellular Automaton Model; Regional Evacuation; Crowd Density; Fundamental Diagram (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (4)

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:oprchp:978-3-642-20009-0_90

Ordering information: This item can be ordered from
http://www.springer.com/9783642200090

DOI: 10.1007/978-3-642-20009-0_90

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:oprchp:978-3-642-20009-0_90