Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …

This research conducts a comprehensive review on the social impacts of Cooperative
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …

This paper focuses on the lane-changing trajectory planning (LTP) process in the automatic
driving technologies. Existing studies on the LTP algorithms are primarily the static planning …

Traffic signals typically introduce vehicle stops along a trip and thus increase vehicle fuel
consumption levels. In attempt to enhance vehicle fuel efficiency, eco-cooperative adaptive …

Current research on traffic control has focused on the optimization of either traffic signals or
vehicle trajectories. With the rapid development of connected and automated vehicle (CAV) …

This paper studies a problem of designing trajectories of a platoon of vehicles on a highway
segment with advanced connected and automated vehicle technologies. This problem is …

Stop-and-go waves are easily caused by unstable traffic due to the collective behavior of
human drivers, resulting in higher vehicle fuel consumption and emissions. In this article, we …

Emerging connected autonomous vehicles (CAV) technologies provide an opportunity to the
detailed vehicle trajectory control to reduce adverse impacts of stop-and-go traffic imposed …

Traffic signals, while serving an important function to coordinate vehicle movements through
intersections, also cause frequent stops and delays, particularly when they are not properly …

It is anticipated that in the near future, the penetration rate of vehicles with some
autonomous capabilities (eg, adaptive cruise control, lane following, full automation, etc.) …