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 …

Road vehicle lane changes often initiate traffic disturbances and can therefore impact road
networks' energy and time efficiency. Furthermore, unexpected changes in traffic conditions …

Traffic anticipation enhances driving intelligence and strengthens the ability to take early
vehicle control action, eg, lane change and speed adjustment, in a dynamically varying …

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 addresses the trajectory planning problem for autonomous vehicles in traffic. We
build a stochastic Markov decision process (MDP) model to represent the behaviors of the …

This paper outlines a predictive maneuver-planning method for autonomous vehicle
navigating public highway traffic. The method integrates discrete maneuvering decisions, ie …

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 …

We consider traffic management and control approaches for automated highway systems
with a combination of intelligent vehicles and roadside controllers. The vehicles are …

Anticipative control of vehicles is a potential approach for improving travel efficiency of
individual vehicles, smoothing traffic flows on urban roads, alleviating impacts on the …

This paper proposes a hierarchical autonomous vehicle navigation architecture, composed
of a high-level speed and lane advisory system (SLAS) coupled with low-level trajectory …