This paper experimentally demonstrates the effectiveness of an anticipative car-following
algorithm in reducing energy use of gasoline engine and electric Connected and Automated …

This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller
in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the …

Autonomous driving systems present promising methods for congestion mitigation in mixed
autonomy traffic control settings. In particular, when coupled with even modest traffic state …

This work proposes a real-time implementable control strategy to optimize vehicle speed
and transmission gear position simultaneously for connected and autonomous vehicles …

Safe and energy-efficient driving of connected and automated vehicles (CAVs) must be
influenced by human-driven vehicles. Thus, to properly evaluate the energy impacts of CAVs …

Connected and automated vehicles (CAVs) have shown great potential in improving the
energy efficiency of road transportation. Energy savings, however, greatly depends on …

Connected and automated vehicles (CAVs) have the potential to improve traffic throughput
and achieve a more efficient utilization of the available roadway infrastructure. They also …

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 …

Constrained optimization control techniques with preview are designed in this paper to
derive optimal velocity trajectories in longitudinal vehicle following mode, while ensuring …

This article is devoted to the development of an optimal speed profile for autonomous
vehicles in order to cross a signalized intersection without stopping. The design objective is …