Connected and automated vehicles (CAVs) and their advanced control systems have the
ability to improve energy efficiency and mobility of the transportation system, but hundred …

Human driver's pedal behavior is difficult to model because it is the output of a very
complicated virtual stochastic system. This paper provides a new way to describe driver's …

This paper proposes a novel robust suggestion-based control framework based on model
predictive control (MPC) to optimize the fuel efficiency of connected and automated vehicles …

To offer increased security and comfort, advanced driver-assistance systems (ADASs)
should consider individual driving styles. Here, we present a system that learns a human's …

It is well known that not all drivers drive the same and that the same driver has different
driving characteristics with different vehicles. Identifying the characteristics that are unique to …

The role of autonomous cooperative vehicles will undoubtedly be important in Intelligent
Transportation Systems (ITS) to increase both the safety and the overall efficiency of a high …

It is well known that not all drivers drive the same and the same driver has different driving
characteristics with different vehicles. Identifying these characteristics that are unique to …

Within the automotive industry, there is a significant emphasis on enhancing fuel efficiency
and mobility, and reducing emissions. In this context, connected and automated vehicles …

Driving, while a necessary and sometimes enjoyable experience, can become stressful and
often challenging in city environments due to congestion, difficult environmental conditions …

Prediction and Planning are essential elements of successful human driving, making them
equally important for autonomously driving systems. Many approaches achieve planning …