Agent-based simulation of the pandemic during and after the Tokyo Olympic Games in 2021.
A video glancing this digital twin simulation of the entire Tokyo Olympic Games amid pandemic transmission is available at https://drive.google.com/file/d/1DRW0PJrI8OWlu-NYoM3ylsb4_z7s8XAZ/view?usp=sharing.
- Unreal Engine 4.26.x
- Visual Studio Community 2019
Clone and open ToolMan in UnrealEngineProject. Then download and unzip Compressed data for UE4 Project in Releases to the root directory of ToolMan.
To ensure the successful compilation and operation of the project, you have to get code plugins Socket.IO Client Multi Task Pro and asset packages Automotive Materials Cel-Shader & Outline Cyberpunk FX Pack 2 - Neon Panels and Screens GOOD SKY Stylized Colorful Nature Pack Twinmotion Materials for Unreal Engine Water Planes POLYGON - City Pack POLYGON - Prototype Pack Simple Port from the Unreal Engine Marketplace.
Please place Automotive Materials Cel-Shader & Outline Cyberpunk FX Pack 2 - Neon Panels and Screens GOOD SKY Stylized Colorful Nature Pack Twinmotion Materials for Unreal Engine Water Planes in the Content directory of ToolMan, and place POLYGON - City Pack POLYGON - Prototype Pack Simple Port in the Resources directory of Content.
Use Visual Studio Community 2019 to build the .sln file.
The file FileName.json in Data describes the scenario configuration file required for the simulation and the output result file:
["Data/Person0_main.json", "Data/Result0_test.json"]
Modify "Data/Person0_main.json" to run simulations of different scenarios.
Open ToolMan.uproject to run the agent-based simulation.
- Python 3.7
Use pip to install tensorflow gym keras-rl and python-socketio.
Modify paths of UE4Editor.exe and ToolMan.uproject in RL/main.py:
child = subprocess.Popen(["C:/Program Files/Epic Games/UE_4.26/Engine/Binaries/Win64/UE4Editor.exe", "***/ToolMan/ToolMan.uproject", "-game", "-windowed"])
Run RL/main.py to start the UE4 project.
Run RL/dqn_server.py to establish socket communication between the Python neural network and the UE4 game environment.
- MATLAB
Take the default scene as an example, run main.m to get the evolution process data of infectious diseases. The result folder contains the data obtained from the experiment, including the sensitivity analysis and the final results of the different strategies.
Sensitivity analysis includes sensitivity analysis of some parameters such as R0 and gamma. The specific procedures are R0_gamma.m and beta_test.
Data and programs for ploting with python are in python_COVID19, and codes for ploting with MATLAB are in plot function.
If you use our work, you can cite: Digital twin simulation and controllability of COVID-19 transmission dynamics amid and after Tokyo Olympic Games.