6 citations · 11 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Modelling Animal-Vehicle Collision Counts across Large Networks Using a Bayesian Hierarchical Model with Time-Varying Parameters
Krishna Murthy Gurumurthy, Zili Li, Kara M. Kockelman +1
Animal-vehicle collisions (AVCs) are common around the world and result in considerable loss of animal and human life, as well as significant property damage and regular insurance…