The steady increase in the number of vehicles operating on the highways continues to
exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions …

In this work, the problem of path planning for an autonomous vehicle that moves on a
freeway is considered. The most common approaches that are used to address this problem …

Multi-vehicle motion planning (MVMP) refers to computing feasible trajectories for multiple
vehicles. MVMP problems are generally solved in two ways, namely simultaneous methods …

Urban intersections, merging roadways, roundabouts, and speed reduction zones along
with the driver responses to various disturbances are the primary sources of bottlenecks in …

The automated merging control is one of the connected and automated vehicle applications
that is expected to improve the operation and safety of freeway merging areas. This study …

In this letter, we consider a transportation network with a 100% penetration rate of connected
and automated vehicles (CAVs) and present an optimal routing approach that takes into …

In earlier work, we established a decentralized optimal control framework for coordinating
online connected and automated vehicles (CAVs) in specific transportation segments, eg …

Deep reinforcement learning (DRL) algorithms often face challenges in achieving stability
and efficiency due to significant policy gradient variance and inaccurate reward function …

Truck platooning has attracted substantial attention due to its pronounced benefits in saving
energy and promising business model in freight transportation. However, one prominent …

Connected and automated vehicles (CAVs) provide the most intriguing opportunity to
improve energy efficiency, traffic flow, and safety. In earlier work, we addressed the …