15 citations · 22 across the 3 of their papers we have counts for
4 papers
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles
Ayman Moawad, Krishna Murthy Gurumurthy, Omer Verbas +4
This paper presents a machine learning approach to model the electric consumption of electric vehicles at macroscopic level, i.e., in the absence of a speed profile, while preservi…
A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System
Ayman Moawad, Zhijian Li, Ines Pancorbo +6
This paper presents a neural network recommender system algorithm for assigning vehicles to routes based on energy and cost criteria. In this work, we applied this new approach to…
Explainable AI for a No-Teardown Vehicle Component Cost Estimation: A Top-Down Approach
Ayman Moawad, Ehsan Islam, Namdoo Kim +3
The broader ambition of this article is to popularize an approach for the fair distribution of the quantity of a system's output to its subsystems, while allowing for underlying co…
Effects of Predictive Real-Time Traffic Signal Information
Vadim Sokolov, David W. Etherington, Christian Schmid +3
This paper analyzes the impact of providing car drivers with predictive information on traffic signal timing in real-time, including time-to-green and green-wave speed recommendati…