Destination labels for battery electric vehicles in eVMT dataset

This dataset provides detailed information on the destination labels for
the trip trajectory and charging of 65 Battery Electric Vehicles in
California in the eVMT dataset. This dataset includes the Tesla Model S
and Chevrolet Bolt only. Additionally, the repository contains a Python
script that trains a deep-learning model to predict the driving behavior
of the drivers in this dataset. The aim of this model is to forecast the
charging needs of the drivers, so that they can align their charging needs
with renewable energy resources availability. This way, the impact of
fossil fuel resources in charging the vehicle can be decreased, and carbon
emission per mile driven can be reduced.