Autonomous vehicle control systems are unavoidably influenced by diverse noise
perturbations from the unpredictable external environment and internal system. In this …

Detailed longitudinal dynamics simulations may be used to predict the energy performance
of road vehicles. However, including uncertainty in the operating conditions often implies …

The adaptive cruise control system relies heavily on the vehicle's longitudinal control
algorithm. Traditional longitudinal control algorithms typically depend on precise vehicle …

Introducing the human driver's intelligence of interpreting and anticipating preceding traffic
conditions into automated driving control is crucial for improved driving experience. Existing …

Platooning is a remarkable research direction in connected electric vehicles for improving
energy efficiency. This study proposes an energy-efficient predictive and reactive control …

In this paper, we propose a data-driven predictive controller for connected automated
vehicles (CAVs) traveling in mixed traffic consisting of both connected and non-connected …

Controlling connected automated vehicles (CAVs) via vehicle-to-everything (V2X)
connectivity holds significant promise for improving fuel economy and traffic efficiency …

Energy-efficient driving is a key advancement in the deployment of automated vehicles once
safety concerns are addressed. This paper formulates the energy-efficient driving problem …

This letter proposes an energy-critical control scheme for road vehicles. The framework is
designed to ensure an energy-critical goal that is defined in the form of an upper bound on …