Trajectory Based Traffic Control with Low Penetration of Connected and Automated Vehicles

Final ReportThe state-of-the-practice real-time signal control strategies rely heavily on infrastructure-based sensors. With the advances in connected vehicle (CV) technologies, real-time vehicle trajectory data are reported to the traffic control system. The new source of data provides a much more complete picture of the traffic conditions around the intersection so that traffic controllers should be able to make “smarter” decisions. However, most of the existing connected vehicle (CV)-based traffic control models require a critical CV penetration rate of around 25%. This project aims to develop new models of vehicle trajectory-based real-time traffic control under low penetration of CVs (