X Zhang, S Fang, Y Shen, X Yuan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid development of intelligent connected technologies and cellular vehicle-to- everything communication (C-V2X) provide new opportunities to solve the connected …
Managing traffic flow at intersections in a large-scale network remains challenging. Multi- modal signalized intersections integrate various objectives, including minimizing the queue …
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 …
Z Jiang, D Yu, S Luan, H Zhou, F Meng - Journal of Cleaner Production, 2022 - Elsevier
Transportation systems face a variety of problems, especially in the aspects of traffic efficiency and energy consumption. The emerging of connected and automated vehicles …
Q Wang, Y Yuan, Q Zhang, XT Yang - Transportation Research Part C …, 2022 - Elsevier
For alleviating arterial congestion, most control strategies provide progression for through and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …
The paper proposes a traffic responsive control framework based on a Model Predictive Control (MPC) approach. The framework focuses on a centralized method, which can …
S Lin, J Dai, R Li - Transportation research part C: emerging technologies, 2023 - Elsevier
This paper presents a framework for signalized road network predictive optimization using real-time routing information from connected vehicles (CVs). An important feature of the real …
In urban road transportation, intersections are traffic bottlenecks with increased waiting delays and associated adverse effects. A recently proposed intelligent intersection …