The article discusses the short, medium, and long-term effects of Autonomous Vehicles
(AVs) on the urban transportation and environment by means of a systematic review of the …

The deployment of automated vehicles (AVs) has the potential to disrupt and fundamentally
transform urban transportation. As their implementation becomes imminent on cities' streets …

This paper addresses the eco-driving problem for connected vehicles on urban roads,
considering localization uncertainty. Eco-driving is defined as longitudinal speed planning …

Many studies have demonstrated the eco-driving capabilities of connected and automated
vehicles (CAVs) to significantly enhance mobility systems. The majority of these studies …

This paper presents a data-driven Model Predictive Control (MPC) for energy-efficient urban
road driving for connected, automated vehicles. The proposed MPC aims to minimize total …

Transportation is among the most prevalent, challenging, and complex sectors that
significantly influence energy consumption, environmental sustainability, and economic …

A personalized speed planning strategy for autonomous vehicles (AVs) is proposed in this
paper, which can generate individual speed trajectories for passengers with different driving …

This paper presents a trajectory planning method for connected and automated vehicles
(CAVs) operating on a two-lane urban road that includes signalized intersections with a mix …

This article presents an experimental validation of energy savings achieved through
cooperative driving automation (CDA) measured by vehicle-in-the-loop (VIL) testing in car …

Connected and autonomous vehicles have the potential to minimize energy consumption by
optimizing the vehicle velocity and powertrain dynamics with Vehicle-to-Everything info en …