A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles

no code implementations • 25 Nov 2021 • Ayman Moawad, Krishna Murthy Gurumurthy, Omer Verbas, Zhijian Li, Ehsan Islam, Vincent Freyermuth, Aymeric Rousseau

For this work, we leveraged a high-performance, agent-based transportation tool to model trips that occur in the Greater Chicago region under various scenario changes, along with physics-based modeling and simulation tools to provide high-fidelity energy consumption values.

Decision Making Feature Engineering +2

A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System

no code implementations • 21 Oct 2021 • Ayman Moawad, Zhijian Li, Ines Pancorbo, Krishna Murthy Gurumurthy, Vincent Freyermuth, Ehsan Islam, Ram Vijayagopal, Monique Stinson, Aymeric Rousseau

This paper presents a neural network recommender system algorithm for assigning vehicles to routes based on energy and cost criteria.

Recommendation Systems