A survey on urban traffic control under mixed traffic environment with connected automated vehicles

J Li, C Yu, Z Shen, Z Su, W Ma - Transportation research part C: emerging …, 2023 - Elsevier
Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …

Hierarchical velocity optimization for connected automated vehicles with cellular vehicle-to-everything communication at continuous signalized intersections

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 …

Decentralized signal control for multi-modal traffic network: A deep reinforcement learning approach

J Yu, PA Laharotte, Y Han, L Leclercq - Transportation Research Part C …, 2023 - Elsevier
Managing traffic flow at intersections in a large-scale network remains challenging. Multi-
modal signalized intersections integrate various objectives, including minimizing the queue …

Connected automated vehicle trajectory optimization along signalized arterial: A decentralized approach under mixed traffic environment

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 …

Integrating traffic signal optimization with vehicle microscopic control to reduce energy consumption in a connected and automated vehicles environment

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 …

Signalized arterial origin-destination flow estimation using flawed vehicle trajectories: A self-supervised learning approach without ground truth

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 …

A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation

F Storani, R Di Pace, B De Schutter - Journal of Intelligent …, 2023 - Taylor & Francis
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 …

Network-level signal predictive control with real-time routing information

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 …

[HTML][HTML] 混行环境下网联信号交叉口车路协同控制方法

王润民, 张心睿, 赵祥模, 吴霞, 凡海金 - 交通运输工程学报, 2022 - transport.chd.edu.cn
为了提高网联信号交叉口车路协同控制对真实交通环境的适应性, 以智能网联汽车与网联人工
驾驶汽车混行的典型交通应用场景为研究对象, 通过构建八相位网联信号交叉口 …

Synchronous Management of Mixed Traffic at Signalized Intersections Toward Sustainable Road Transportation

R Reddy, L Almeida, MG Gaitán, PM Santos… - IEEE …, 2023 - ieeexplore.ieee.org
In urban road transportation, intersections are traffic bottlenecks with increased waiting
delays and associated adverse effects. A recently proposed intelligent intersection …