Efficient trajectory planning for intelligent vehicles in dynamic environments is a non-trivial
task due to the diversity and complexity of driving scenarios. It requires the planner to be …

Connected and autonomous vehicles (CAVs) have the capability to acquire real‐time
information from each other while human‐driven vehicles (HVs) are standalone in the …

This paper introduces a novel control framework for Lagrangian variable speed limits in
hybrid traffic flow environments utilizing automated vehicles (AVs). The framework was …

Connected and automated vehicles (CAVs) promise to change the transportation landscape
with safer, faster and more energy-efficient mobility. However 100% CAV penetration may …

This paper presents a hierarchical motion planning approach based on discrete optimization
method. Well-coupled longitudinal and lateral planning strategies with adaptability features …

Connected vehicles (CVs) can considerably contribute to traffic control in the near future by
providing real-time information. Such information can be exploited to identify the current …

Connected-and-automated vehicles (CAV) hold the potential for substantial improvements to
traffic safety, travel time reliability, driver comfort, roadway capacity, environmental impacts …

As a fundamental component of autonomous driving systems, motion planning has garnered
significant attention from both academia and industry. This paper focuses on efficient and …

This work proposes a fuel efficient vehicle speed control strategy for a connected and
autonomous vehicle to pass the intersection (the eco-approach application). A control …

This work demonstrates a new capability in roadway control: Speed-adaptive, infrastructure-
linked connected and automated vehicles. We develop and deploy a lightly modified vehicle …