Fig. 2: The structure of the PODA model.
From: Machine learning model to project the impact of COVID-19 on US motor gasoline demand

The PODA model is a machine-learning-based model to project the US gasoline demand using COVID-19 pandemic data, government policies and demographic information. The Mobility Dynamic Index Forecast Module identifies the changes in travel mobility caused by the evolution of the COVID-19 pandemic and government orders. The Motor Gasoline Demand Estimation Module quantifies motor gasoline demands due to the changes in travel mobility.