Publication detail

Calibration of the Pedestrian Ingress Model in the Vaccination Center

PÁLKOVÁ, M. UHLÍK, O. APELTAUER, T.

Original Title

Calibration of the Pedestrian Ingress Model in the Vaccination Center

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

In recent years, there has been a need to optimize the operation of high-capacity facilities. The covid- 19 pandemic has increased this need even more. The presented paper proposes new procedures for the calibration of agent-based pedestrian models based on video analysis, which have the potential to respond to these needs. In paper is demonstrated the calibration process based on machine learning methods. A model of a vaccination centre waiting room was designed in two settings - basic, which does not include waiting points analysis and advanced, which includes waiting point analysis. Three validation tests were performed and shown, that the proposed calibration approach increases the accuracy of the waiting room model.

Keywords

facility operation, agent-based modeling, machine learning, pedestrian dynamics

Authors

PÁLKOVÁ, M.; UHLÍK, O.; APELTAUER, T.

Released

14. 9. 2022

Publisher

Thunderhead Engineering

Pages count

10

URL

https://www.femtc.com/events/2022/d2-04-uhlik/

BibTex

@inproceedings{BUT179414,
  author="Martina {Pálková} and Ondřej {Uhlík} and Tomáš {Apeltauer}",
  title="Calibration of the Pedestrian Ingress Model in the Vaccination Center",
  year="2022",
  pages="10",
  publisher="Thunderhead Engineering",
  url="https://www.femtc.com/events/2022/d2-04-uhlik/"
}