Calibration of the Pedestrian Ingress Model in the Vaccination Center

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F22%3APU145769" target="_blank" >RIV/00216305:26110/22:PU145769 - isvavai.cz</a>
Result on the web
<a href="https://www.femtc.com/events/2022/d2-04-uhlik/" target="_blank" >https://www.femtc.com/events/2022/d2-04-uhlik/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Calibration of the Pedestrian Ingress Model in the Vaccination Center
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/TJ04000232" target="_blank" >TJ04000232: Efficient spacetime predictions using machine learning methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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