Connected and automated vehicle (CAV) technologies offer promising solutions to challenges that face today's transportation systems. Vehicular trajectory control and …
M Tajalli, A Hajbabaie - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
This study introduces a methodology for cooperative signal timing and trajectory optimization at intersections with a mix of connected automated vehicles (CAVs) and human …
Q Wang, Y Gong, X Yang - Transportation research part C: emerging …, 2022 - Elsevier
Trajectory optimization, as a key connected automated vehicles (CAVs) operation task, has the potential to mitigate traffic congestion, lower energy consumption, and increase the …
This paper develops a real-time traffic signal optimization algorithm in the presence of connected and autonomous vehicles (CAVs). The proposed algorithm leverages information …
Z Yao, H Jiang, Y Cheng, Y Jiang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The large-scale application of connected automated vehicles (CAVs) provides new opportunities and challenges for the optimization and management of traffic conflict zones …
X Han, R Ma, HM Zhang - Transportation Research Part C: Emerging …, 2020 - Elsevier
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 …
This paper formulates a simplified traffic smoothing model for guiding movements of connected automated vehicles on a general one-lane highway segment. Adapted from the …
This study presents a connected vehicles (CVs)-based traffic signal optimization framework for a coordinated arterial corridor. The signal optimization and coordination problem are first …
Automated vehicles or AVs (ie, those that have the ability to operate without a driver and can communicate with the infrastructure) may transform the transportation system. This study …