Research using an agent-based model that forms the basis of a delivery model for gasoline and light oil on the spread of next-generation automobiles in Japan

Approaches centered on EVs diffusion forecasts

Abstract

In this research, we used an agent-based model (ABM) to forecast the spread of electric vehicles (EVs), one of the next-generation vehicles. We constructed two models to predict the spread of EVs: a consumer model that uses general consumers who own private cars as agents, and a corporate model that uses companies that own vehicles for business purposes as agents. Ultimately, the predictions of these models are used as one of the necessary data to predict the future demand for gasoline and diesel oil, and the results are reflected in the gasoline and light oil distribution model.