Přístupnostní navigace
E-application
Search Search Close
Publication detail
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 {Floriánová} 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/" }