3 papers
eess.SY2022
Personalized Driving Behaviors and Fuel Economy over Realistic Commute Traffic: Modeling, Correlation, and Prediction
Yao Ma, Junmin Wang
Drivers have distinctively diverse behaviors when operating vehicles in natural traffic flow, such as preferred pedal position, car-following distance, preview time headway, etc. T…
eess.SY2022
Distributed Stochastic Model Predictive Control for Human-Leading Heavy-Duty Truck Platoon
Mehmet Fatih Ozkan, Yao Ma
Human-leading truck platooning systems have been proposed to leverage the benefits of both human supervision and vehicle autonomy. Equipped with human guidance and autonomous techn…
cs.LG2021
Inverse Reinforcement Learning Based Stochastic Driver Behavior Learning
Mehmet Fatih Ozkan, Abishek Joseph Rocque, Yao Ma
Drivers have unique and rich driving behaviors when operating vehicles in traffic. This paper presents a novel driver behavior learning approach that captures the uniqueness and ri…