Deep Learning-Based Eco-Driving System for Battery Electric Vehicles
The National Center for Sustainable Transportation at the University of California at Davis has released a report that identifies research gaps in Eco-Approach and Departure (EAD) algorithms, which have shown promise at signalized intersections for connected and automated vehicles. This report also describes a deep-learning approach to address the gaps in EAD applications.
This Summary Last Modified On: 7/12/2019