W Liu, M Hua, Z Deng, Z Meng, Y Huang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
L Zhang, Y Wang, H Zhu - Sustainability, 2022 - mdpi.com
A heterogeneous traffic flow consists of regular vehicles, and intelligent connected vehicles having interactive functions is updating the composition of the current urban-road network …
This perspective paper delves into the concept of foundation intelligence that shapes the future of smart infrastructure services as the transportation sector transitions into the era of …
Z Zhang, M Guo, D Fu, L Mo… - Computer‐Aided Civil and …, 2022 - Wiley Online Library
Observability and controllability are two critical requirements for a partially observable transportation system. This paper proposes a stepwise signal optimization framework with …
W Li, T Zhu, Y Feng - Transportation Research Part C: Emerging …, 2024 - Elsevier
Connected vehicle-based adaptive traffic signal control requires certain market penetration rates (MPRs) to be effective, usually exceeding 10%. Cooperative perception based on …
K Zhang, Z Cui, W Ma - Transport Reviews, 2024 - Taylor & Francis
Recent advancements in connected automated vehicles (CAVs) and reinforcement learning (RL) hold significant promise for enhancing intelligent traffic control systems. This paper …
D Zhou, Z Ma, X Zhao, J Sun - Transportation Research Part C: Emerging …, 2022 - Elsevier
Cooperating unprotected turns in mixed connected and autonomous traffic environments is beneficial to improving the systemic utility of intersections. However, interactions among …
Y Zou, F Zheng, C Liu, X Liu - Transportation Research Part C: Emerging …, 2024 - Elsevier
With the rapid advancement of connected and automated vehicle (CAV) technology, the integrated optimization of traffic signals and vehicle trajectories has emerged as a promising …