Journal

Personalized Driving Behaviors and Fuel Economy over Realistic Commute Traffic: Modeling, Correlation, and Prediction

Drivers have distinctively diverse behaviors when operating vehicles in natural traffic flow, such as preferred pedal position, car-following distance, preview time headway, etc. These highly personalized behavioral variations are known to impact …

Distributed Stochastic Model Predictive Control for Human-Leading Heavy-Duty Truck Platoon

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 technology, human-leading truck platooning systems are more versatile to …

Socially Compatible Control Design of Automated Vehicle in Mixed Traffic

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 leverage such impacts to plan more efficient and socially desirable AV …

Modeling Driver Behavior in Car-Following Interactions with Automated and Human-Driven Vehicles and Energy Efficiency Evaluation

Human drivers can have diverse car-following behaviors when interacting with connected and automated vehicles (CAVs) and other human-driven vehicles in mixed traffic where many human-driven vehicles and a limited number of CAVs frequently interact …

Eco-Driving of Connected and Automated Vehicle with Preceding Driver Behavior Prediction

The development of vehicle connectivity and autonomy in ground transportation is not only able to enhance traffic safety and driving comfort as well as fuel economy. This study presents a receding-horizon optimization-based control strategy …

Energetic Impacts Evaluation of Eco-Driving on Mixed Traffic with Driver Behavioral Diversity

This study presents a fuel-economical driving strategy for connected and automated vehicles (CAVs) and investigates its impacts on human-driven platoon’s fuel efficiency, considering driver behavioral diversity. In mixed traffic where a limited …

Predictive Control for NOx Emission Reductions in Diesel Engine Vehicle Platoon Application

This paper presents a predictive control design for diesel vehicle platoons, such as medium- and heavy-duty truck platoons, to achieve lower NOx emissions. By incorporating vehicle longitudinal dynamics control and powertrain estimation with …

Sliding-mode Control of Automotive Selective Catalytic Reduction Systems with State Estimation

A sliding-mode controller for an automotive selective catalytic reduction system is designed to drive its ammonia surface coverage ratio to the target level. The proposed controller only requires NOx, temperature and air flow sensor measurement …

Integrated Power Management and Aftertreatment System Control for Hybrid Electric Vehicles with Road Grade Preview

This paper presents a model-based and integrated strategy for hybrid electric vehicle (HEV) power management and aftertreatment control with preview information of road grade. The HEV power management has been well studied for decades to optimize …

Control of Aged Automotive Selective Catalytic Reduction Systems for Consistent Performances

This paper develops a consistent emission control method for automotive selective catalytic reduction (SCR) systems against variant aging conditions. SCR systems have been widely adopted on Diesel vehicles to reduce tailpipe NOx emissions thanks to …