This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for a mixed connected and automated traffic environment based on deep …
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 …
Traffic conflict points (eg, intersections, work-zones) cause travel delay, stop-and-go traffic, and excessive energy consumption. Efforts have been taken to improve traffic conflict point …
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 …
C Yu, Y Feng, HX Liu, W Ma, X Yang - Transportation research part B …, 2018 - Elsevier
Existing traffic signal control systems only allocate green time to different phases to avoid conflicting vehicle movements. With advances in connected and automated vehicle (CAV) …
Intersections are known to be traffic bottlenecks where a significant amount of energy consumption could be caused due to deceleration/acceleration in the presence of red …
Jointly optimizing multi-vehicle trajectories is a critical task in the next-generation transportation system with autonomous and connected vehicles. Based on a space-time …
Z Yao, H Jiang, Y Jiang, B Ran - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous intersection management has become a state-of-the-art control strategy customized for connected and autonomous vehicles. Combining the advantages of tile …
Q He, KL Head, J Ding - Transportation Research Part C: Emerging …, 2012 - Elsevier
A unified platoon-based mathematical formulation called PAMSCOD is presented to perform arterial (network) traffic signal control while considering multiple travel modes in a vehicle-to …