Methodology for Pedestrian Analysis in Public Spaces Based on Probabilistic Approach

Ignacio Martínez () and Ana Olmeda ()
Additional contact information
Ignacio Martínez: INECO
Ana Olmeda: INECO

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 761-773 from Springer

Abstract: Abstract In the field of pedestrian simulation, there is a lack of detail in terms of the random movements of pedestrians within a public space. This is due to the use of models based on deterministic approaches, like O/D-based fixed percentage of routes which, in most cases, hardly reproduce those random patterns. The presented methodology tries to cover the need of representing the complexity of movements of such spaces, without forgetting the efficiency and effectiveness of the implementation in the model of such large amount of information. This paper describes an intuitive and innovative idea that substantially improves the modeling of random pedestrian patterns, the validation of the results and the analysis of commercial areas and future scenarios.

Keywords: Passengers; Commuters; Station design; Pedestrian 2D simulation; Modeling pedestrian behavior; Random pedestrian pattern simulation (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_64

Ordering information: This item can be ordered from
http://www.springer.com/9783319024479

DOI: 10.1007/978-3-319-02447-9_64

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 ().