The transportation sector is a significant contributor to global energy consumption and
emissions, necessitating the development of sustainable transportation systems. In this …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Vehicle control using prediction based optimal energy management has been demonstrated
to achieve better fuel economy resulting in economic, environmental, and societal benefits …

Electric Vehicles (EVs) are cost-effective and widely recognized for their significant role in
reducing greenhouse gas (GHG) emissions. However, concerns surrounding range anxiety …

The development of novel vehicle control systems that improve Fuel Economy (FE) is of
significant interest, owing to the economic, environmental, and social implications of …

Connected vehicles (CVs) feature vehicle to vehicle (V2V), vehicle to infrastructure (V2I),
and vehicle to everything (V2X) communications, which are expected to dramatically …

Documenting existing state of practice is an initial step in developing future control
infrastructure to be co-deployed for heterogeneous mix of connected and automated …

Connected autonomous vehicles (CAVs) have emerged as a promising solution for
enhancing transportation efficiency. However, the increased adoption of CAVs is expected …

This dissertation assesses eco-driving effectiveness in several key traffic scenarios that
include passenger vehicle transportation in highway driving and urban driving that also …

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 …