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Statistical model fitting and model selection in pedestrian dynamics research

Bode, Nikolai and Ronchi, Enrico LU (2019) In Collective Dynamics 4.
Abstract
Pedestrian dynamics is concerned with understanding the movement patterns that arise in places where more than one person walks. Relating theoretical models to data is a crucial goal of research in this field. Statistical model fitting and model selection are a suitable approach to this problem and here we review the concepts and literature related to this methodology in the context of pedestrian dynamics. The central tenet of statistical modelling is to describe the relationship between different variables by using probability distributions. Rather than providing a critique of existing methodology or a "how to" guide for such an established research technique, our review aims to highlight broad concepts, different uses, best practices,... (More)
Pedestrian dynamics is concerned with understanding the movement patterns that arise in places where more than one person walks. Relating theoretical models to data is a crucial goal of research in this field. Statistical model fitting and model selection are a suitable approach to this problem and here we review the concepts and literature related to this methodology in the context of pedestrian dynamics. The central tenet of statistical modelling is to describe the relationship between different variables by using probability distributions. Rather than providing a critique of existing methodology or a "how to" guide for such an established research technique, our review aims to highlight broad concepts, different uses, best practices, challenges and opportunities with a focussed view on theoretical models for pedestrian behaviour. This contribution is aimed at researchers in pedestrian dynamics who want to carefully analyse data, relate a theoretical model to data, or compare the relative quality of several theoretical models. The survey of the literature we present provides many methodological starting points and we suggest that the particular challenges to statistical modelling in pedestrian dynamics make this an inherently interesting field of research. (Less)
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Pedestrian dynamics, collective behaviour, statistical modelling, Statistics
in
Collective Dynamics
volume
4
pages
32 pages
ISSN
2366-8539
DOI
10.17815/CD.2019.20
language
English
LU publication?
yes
id
ee6a9c7a-0e44-45b3-a00e-5bf722056289
date added to LUP
2019-06-03 15:37:24
date last changed
2019-06-19 11:24:28
@article{ee6a9c7a-0e44-45b3-a00e-5bf722056289,
  abstract     = {Pedestrian dynamics is concerned with understanding the movement patterns that arise in places where more than one person walks. Relating theoretical models to data is a crucial goal of research in this field. Statistical model fitting and model selection are a suitable approach to this problem and here we review the concepts and literature related to this methodology in the context of pedestrian dynamics. The central tenet of statistical modelling is to describe the relationship between different variables by using probability distributions. Rather than providing a critique of existing methodology or a "how to" guide for such an established research technique, our review aims to highlight broad concepts, different uses, best practices, challenges and opportunities with a focussed view on theoretical models for pedestrian behaviour. This contribution is aimed at researchers in pedestrian dynamics who want to carefully analyse data, relate a theoretical model to data, or compare the relative quality of several theoretical models. The survey of the literature we present provides many methodological starting points and we suggest that the particular challenges to statistical modelling in pedestrian dynamics make this an inherently interesting field of research.},
  author       = {Bode, Nikolai and Ronchi, Enrico},
  issn         = {2366-8539},
  language     = {eng},
  month        = {04},
  series       = {Collective Dynamics},
  title        = {Statistical model fitting and model selection in pedestrian dynamics research},
  url          = {https://lup.lub.lu.se/search/ws/files/65408457/Statistical_Model_Fitting_and_Model_Selection_in_Pedestrian_Dynamics_Research.pdf},
  doi          = {10.17815/CD.2019.20},
  volume       = {4},
  year         = {2019},
}