Connected and automated vehicle (CAV) technology is widely recognized as a promising
way to improve traffic safety, fuel efficiency and network throughput. However, at the early …

Connected autonomous vehicles (CAVs) may be able to operate with less longitudinal and
lateral spacing than traditional human-driven vehicles (HVs) due to fast and precise control …

Trajectory smoothing is an effective concept to control connected automated vehicles
(CAVs) in mixed traffic to reduce traffic oscillations and improve overall traffic performance …

Connected and automated vehicles (CAVs) enabled by wireless communication and vehicle
automation are believed to revolutionize the form and operation of road transport in the next …

This paper develops a path planning algorithm for Connected and Automated Vehicles
(CAVs) driving on a lane-free highway, according to a recently proposed novel paradigm for …

Mandatory lane change (MLC) is the core of lane-specific motion planning for connected
and autonomous vehicles (CAVs). To model the MLC for CAVs, this paper presented a …

As one of the key algorithms in supporting AV (autonomous vehicle) to complete the LC
(lane changing) maneuver, the LTP (LC trajectory planning) algorithm generates safe and …

Trajectory planning for connected and automated vehicles (CAVs) has the potential to
improve operational efficiency and vehicle fuel economy in traffic systems. Despite abundant …

Purpose-This study aims to make full use of the advantages of connected and autonomous
vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without …

Connected and automated vehicle (CAV) technologies have been developed to improve
traffic safety, mobility, and environmental impacts throughout the years. One of the enabling …