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

Connected and automated vehicles (CAVs) can plan and actuate control that explicitly
considers performance, system safety, and actuation constraints in a manner more efficient …

In this paper, we provide a decentralized theoretical framework for coordination of
connected and automated vehicles (CAVs) at different traffic scenarios. The framework …

Traffic congestion and energy issues have set a high bar for current ground transportation
systems. With advances in vehicular communication technologies, collaborations of …

This paper develops a distributed cooperative control logic to determine conflict-free
trajectories for connected and automated vehicles (CAVs) in signal-free intersections. The …

This study presents a methodology for optimal control of connected automated vehicles
(CAVs) in freeway segments with a lane drop. Lane drops can create bottlenecks with a …

This paper presents an efficient hierarchical motion planning framework with a long
planning horizon for autonomous driving in structured environments. A 3D motion planning …

Motion planning algorithms, an essential part of the autonomous driving system, have been
extensively studied. However, in large-scale complex scenarios, how to develop an optimal …

This paper studies the value of communicated motion predictions in the longitudinal control
of connected automated vehicles (CAVs). We focus on a safe cooperative adaptive cruise …

Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …