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 …

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

In this paper, we present a hierarchical distributed coordination strategy for connected and
automated vehicles (CAVs) that are travelling through multiple unsignalized intersections …

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 …

Connected and automated vehicles (CAVs) are expected to play a vital role in the emerging
intelligent transportation system. In recent years, researchers have proposed various …

This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …

Autonomous vehicle technology provides the means to optimize motion planning beyond
human capacity. In particular, the problem of navigating multi-lane traffic optimally for trip …

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 deals with the Multi-Vehicle Trajectory Planning (MVTP) problem in unstructured
conflict areas. Compared with MVTP on structured roads, the more complex intersection and …

Autonomy and connectivity are expected to enhance safety and improve fuel efficiency in
transportation systems. While connected vehicle-enabled technologies, such as coordinated …