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In response, this paper introduces the Parallel Learning-based Adaptive Network for Traffic Signal Control (PLANT) as a foundation model for NTSC. We employ the ...
A traffic signal control system based on parallel simulation technology is designed in this article. Based on the second-level acquisition of intersection data, ...
A case study on the Hangzhou road network highlights PLANT's potential as a reliable foundation model for networked traffic signal control. Future research ...
This paper introduces the Parallel Learning-based Adaptive Network for Traffic Signal Control (PLANT) as a foundation model for NTSC, and employs the ...
Dec 6, 2023 · “Parallel Learning Based Foundation Model for Networked Traffic Signal Control” by Zhao, Chen; Dai, Xingyuan; Chen, Yuanyuan; Lin, Yilun; Lv ...
... Traffic Signal Control Based on Parallel Learning. X Dai, Y Zhang, Y ... 2023. Parallel Learning Based Foundation Model for Networked Traffic Signal Control.
Specifically, a transportation foundation model driven by artificial transportation systems, parallel learning and federated intelligence, named TengYun, is ...
This paper introduces MSIT-Det, an innovative two-stage 3D object detection framework designed explicitly for LiDAR point cloud data, and proposes the ...
To guide the accurate perception of road environment information, Zhang et al. [24] proposed a parallel vision framework (PVITS), which consists of virtual ...
This study proposes a group-based signal control approach capable of making decisions based on its understanding of traffic conditions at the intersection ...