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Multiobjective Calibration Framework for Pedestrian Simulation Models: A study on the Effect of Movement Base Cases, Metrics, and Density Levels
Joint Authors
Sparnaaij, Martijn
Duives, Dorine C.
Knoop, Victor L.
Hoogendoorn, S. P.
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-03
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Ideally, a multitude of steps has to be taken before a commercial implementation of a pedestrian model is used in practice.
Calibration, the main goal of which is to increase the accuracy of the predictions by determining the set of values for the model parameters that allows for the best replication of reality, has an important role in this process.
Yet, up to recently, calibration has received relatively little attention within the field of pedestrian modelling.
Most studies focus only on one specific movement base case and/or use a single metric.
It is questionable how generally applicable a pedestrian simulation model is that has been calibrated using a limited set of movement base cases and one metric.
The objective of this research is twofold, namely, to (1) determine the effect of the choice of movement base cases, metrics, and density levels on the calibration results and (2) to develop a multiple-objective calibration approach to determine the aforementioned effects.
In this paper a multiple-objective calibration scheme is presented for pedestrian simulation models, in which multiple normalized metrics (i.e., flow, spatial distribution, effort, and travel time) are combined by means of weighted sum method that accounts for the stochastic nature of the model.
Based on the analysis of the calibration results, it can be concluded that (1) it is necessary to use multiple movement base cases when calibrating a model to capture all relevant behaviours, (2) the level of density influences the calibration results, and (3) the choice of metric or combinations of metrics influence the results severely.
American Psychological Association (APA)
Sparnaaij, Martijn& Duives, Dorine C.& Knoop, Victor L.& Hoogendoorn, S. P.. 2019. Multiobjective Calibration Framework for Pedestrian Simulation Models: A study on the Effect of Movement Base Cases, Metrics, and Density Levels. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1169976
Modern Language Association (MLA)
Sparnaaij, Martijn…[et al.]. Multiobjective Calibration Framework for Pedestrian Simulation Models: A study on the Effect of Movement Base Cases, Metrics, and Density Levels. Journal of Advanced Transportation No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1169976
American Medical Association (AMA)
Sparnaaij, Martijn& Duives, Dorine C.& Knoop, Victor L.& Hoogendoorn, S. P.. Multiobjective Calibration Framework for Pedestrian Simulation Models: A study on the Effect of Movement Base Cases, Metrics, and Density Levels. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1169976
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169976