@inproceedings{115e70ad6cc946dfabeec3c415e4ffc3,
title = "Interactive Visualization of Agent-Based Pandemic Simulation in Web Browser",
abstract = "The paper presents a web-based system designed to visualize a simulation of ca. 500,000 residents of a city during the COVID-19 outbreak. Each agent's infection status and mobility are presented in the time scale. The main effort was to ensure simplicity from the user's perspective and smooth operation on various client devices. The full range of software engineering problems is discussed, from efficient data storage to optimization of visualization methods. ",
keywords = "agent-based model, big data, covid-19 outbreak, web application",
author = "Michal Mrozek and Mikhail Sirenko and Anna Foks-Ryznar and Bartosz Sawicki",
note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022 ; Conference date: 11-09-2022 Through 14-09-2022",
year = "2022",
doi = "10.1109/CPEE56060.2022.9919642",
language = "English",
series = "2022 23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022",
address = "United States",
}