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Smart city article details

Title	Dynamic Traffic Signal Control Based On Multi-Agent Curricular Transfer Learning
ID_Doc	21434
Authors	Miao S.; Wang B.; Li Y.; Pan Q.
Year	2023
Published	Proceedings of SPIE - The International Society for Optical Engineering, 12943
DOI	http://dx.doi.org/10.1117/12.3012811
Abstract	This paper considers the smart city traffic signal control problem. The application of reinforcement learning in smart city traffic signal control has always been a hot research field. However, agents cannot learn good policies in complex environments with a large number of agents. Therefore, this paper proposes a course learning method with increasing number of agents in a hybrid environment, completes multi-agent course transfer learning based on MADDPG algorithm, and applies it to the field of traffic lights in smart city. Experimental results show that the performance of the proposed system is better than the widely used traffic signal control algorithms in large-scale intersection environment. © 2023 SPIE. All rights reserved.
Author Keywords	Multi-agent; traffic signal control problem; transfer learning

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