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Detail publikačního výsledku
PÁLKOVÁ, M.; UHLÍK, O.; APELTAUER, T.
Originální název
Calibration of the Pedestrian Ingress Model in the Vaccination Center
Anglický název
Druh
Stať ve sborníku mimo WoS a Scopus
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.
Anglický abstrakt
Klíčová slova
facility operation, agent-based modeling, machine learning, pedestrian dynamics
Klíčová slova v angličtině
Autoři
Rok RIV
2023
Vydáno
14.09.2022
Nakladatel
Thunderhead Engineering
Strany počet
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/" }