Microscopic calibration and validation of pedestrian models — Cross-comparison of models using experimental data

S. P. Hoogendoorn, W. Daamen and R. Landman
Additional contact information
S. P. Hoogendoorn: Delft University of Technology, Transport & Planning Department
W. Daamen: Delft University of Technology, Transport & Planning Department
R. Landman: Delft University of Technology, Transport & Planning Department

A chapter in Pedestrian and Evacuation Dynamics 2005, 2007, pp 253-265 from Springer

Abstract: Abstract Calibration of microscopic simulation models is complex due to amongst other things the large number of model parameters, and the lack of suitable data. Rather than a qualitative test to determine whether model predictions are plausible on an aggregate (macroscopic) level, this contribution focuses on statistical calibration of model parameter from individual pedestrian trajectory data. To this end, a new generic approach is presented enables parameter estimation for microscopic models in general and in particular for walker models. The application results provide new insight into the behavior of individual pedestrians, the inter-pedestrian differences, as well as the resulting pedestrian flow characteristics. By comparing different models of increasing complexity, it is investigated which of the model amendments are significant from a statistical point of view and which are not. It is shown that besides anisotropy, finite reaction times play an important role in correctly describing microscopic walking behavior.

Keywords: Acceleration Time; Route Choice; Anisotropic Model; Interaction Distance; Instantaneous Model (search for similar items in EconPapers)
Date: 2007
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:978-3-540-47064-9_22

Ordering information: This item can be ordered from
http://www.springer.com/9783540470649

DOI: 10.1007/978-3-540-47064-9_22

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 ().