This repository contains a simulation tool for drive-through mass testing for COVID-19, aimed at improving planning and operational efficiency. It utilizes an agent-based simulation approach, allowing individuals to drive up to a testing facility for testing without leaving their vehicle, thus reducing transmission risk and increasing efficiency.
The tool addresses the need for efficient COVID-19 mass testing, using drive-through facilities to minimize virus transmission while optimizing testing processes.
The project highlights the efficiency and effectiveness of drive-through testing in pandemic management, proposing simulation as a key tool for optimizing facility design and operation.
- Develop an agent-based simulation model for a drive-through COVID-19 testing system.
- Optimize the system's design and operation using simulation.
- Investigate the impact of various policies and interventions on system effectiveness.
Combines agent-based and discrete method simulations, focusing on interactions between testing staff, registration staff, and passengers.
Allows user control over simulation parameters like service lane capacity, registration/testing time, and incoming car rate.
Illustrates outcomes like average wait times, number of people tested, and car throughput under different configurations.
Emphasizes the role of detailed planning and simulation in enhancing the efficiency of mass testing facilities during pandemics.