Pedestrian Dynamics at Transit Stations: An Integrated Pedestrian Flow Modelling Approach

Emily Porter (), Samer Hamdar () and Winnie Daamen ()
Additional contact information
Emily Porter: The George Washington University
Samer Hamdar: The George Washington University
Winnie Daamen: Delft University of Technology

A chapter in Traffic and Granular Flow '15, 2016, pp 361-368 from Springer

Abstract: Abstract The objectivePorter, Emily of this chapterHamdar, Samer is to exploreDaamen, Winnie an integrated modelling framework that captures pedestrian walking behaviour in congested and uncongested conditions and covers different traffic dynamics caused by complex geometric and operational characteristics such as those observed in transit stations. The integrated modelling framework is built using concepts from the Social Force model, behavioural heuristics, and materials science. Pedestrian trajectory data provided by the Delft University of Technology were used to test the validity of the aforementioned modelling framework. A simulation study showed that the model reproduces realistic trajectory patterns in an environment similar to that at the Foggy Bottom METRO station in Washington, D.C, USA.

Keywords: Pedestrian Dynamics; Social Force Model; Behavioral Heuristics; Integrated Modeling Framework; Train Doors (search for similar items in EconPapers)
Date: 2016
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:978-3-319-33482-0_46

Ordering information: This item can be ordered from
http://www.springer.com/9783319334820

DOI: 10.1007/978-3-319-33482-0_46

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 ().