Detail publikace

Calibration of the Pedestrian Ingress Model in the Vaccination Center

PÁLKOVÁ, M. UHLÍK, O. APELTAUER, T.

Originální název

Calibration of the Pedestrian Ingress Model in the Vaccination Center

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

PÁLKOVÁ, M.; UHLÍK, O.; APELTAUER, T.

Vydáno

14. 9. 2022

Nakladatel

Thunderhead Engineering

Strany počet

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/"
}