most citedPersonalized Adaptive Cruise Control and Impacts on Mixed Traffic

16 citations · 24 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SY2022

Inverse Resource Rational Based Stochastic Driver Behavior Model

Mehmet Ozkan, Yao Ma

Human drivers have limited and time-varying cognitive resources when making decisions in real-world traffic scenarios, which often leads to unique and stochastic behaviors that can…

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…

eess.SY2021

Socially Compatible Control Design of Automated Vehicle in Mixed Traffic

Mehmet Fatih Ozkan, Yao Ma

In the car-following scenarios, automated vehicles (AVs) usually plan motions without considering the impacts of their actions on the following human drivers. This paper aims to le…

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…

eess.SY2021★ 8 cited

Fuel-Economical Distributed Model Predictive Control for Heavy-Duty Truck Platoon

Mehmet Fatih Ozkan, Yao Ma

This paper proposes a fuel-economical distributed model predictive control design (Eco-DMPC) for a homogenous heavy-duty truck platoon. The proposed control strategy integrates a f…

eess.SY2021★ 16 cited

Personalized Adaptive Cruise Control and Impacts on Mixed Traffic

Mehmet Ozkan, Yao Ma

This paper presents a personalized adaptive cruise control (PACC) design that can learn driver behavior and adaptively control the semi-autonomous vehicle (SAV) in the car-followin…