Data Analysis Framework for Visualizing Correlation of Energy Consumption and Transit Time in Road Sections using the ECOLOG database

Abstract

We have built a database to estimate electric vehicle (EV) energy consumption from driving logs. This study, examines a data analysis framework that aggregates numerous operation logs that are grouped by predefined road sections which expert drivers consider to have meaning. It visualizes correlation of energy consumption, transit time, and specific factors of energy loss. Furthermore, we estimate energy loss reductions by improved driving when drivers obtain feedback from data analysis using our proposed frame.