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Parallel Learning Based Foundation Model for Networked Traffic Signal Control
Zhao, Chen1,2; Dai, Xingyuan1,2; Chen, Yuanyuan1,2; Yilun, Lin3; Lv, Yisheng1,2; Wang, Fei-Yue2,4
Conference Name2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Conference Date2022-9-24
Conference PlaceBilbao, Bizkaia, Spain

Networked Traffic Signal Control (NTSC) is a fundamental component of Intelligent Transportation Systems (ITS) and the broader vision of smart city development. While a plethora of intelligent strategies have been developed, the Sim2Real challenge often impedes their full realization. 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 Wasserstein GAN with Gradient Penalty (WGAN-GP) to generate a wide range of artificial scenarios for robust PLANT training. Further, the Transformer-based Cooperation Mechanism (TCM) is integrated as the primary learner within PLANT, facilitating effective capture of traffic dynamics and knowledge accumulation. This knowledge is readily transferable to real-world applications through meticulous fine-tuning, equipping PLANT to adapt and evolve in alignment with shifting transportation paradigms. Our empirical study on the Hangzhou road network demonstrates PLANT’s superiority over both traditional and emerging DRL-based approaches, emphasizing its viability as a potential foundation model for NTSC.

Sub direction classification平行管理与控制
planning direction of the national heavy laboratory多智能体决策
Paper associated data
Document Type会议论文
Affiliation1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
2.State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
3.Shanghai AI Laboratory, Shanghai 200232, China
4.Macao Institute of Systems Engineering, Macau University of Science and Technology, Macao 999078, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhao, Chen,Dai, Xingyuan,Chen, Yuanyuan,et al. Parallel Learning Based Foundation Model for Networked Traffic Signal Control[C],2023:5504-5509.
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