A Collaborative Communication-Qmix Approach for Large-scale Networked Traffic Signal Control
Chen, Xiaoyu1,2; Xiong, Gang1,3,4; Lv, Yisheng1; Chen, yuanyuan1; Song, bing1,2; Wang, Feiyue1
2021-09
Conference Name2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
Conference Date2021-9-19
Conference PlaceIndianapolis, IN, United States
Author of SourceIEEE
Publication PlaceIEEE
PublisherIEEE
Abstract

Networked Traffic Signal Control (NTSC) has become an essential component in Intelligent Transportation Systems (ITS). To satisfy both scale and coordination challenging requirements for large-scale networked traffic signal control, this paper proposes a Communication-Qmix (CQmix) approach based on Qmix and Long Short-Term Memory (LSTM) communication module correspondingly. Firstly, we apply Qmix as the foundation for balancing large-scale and effective optimization, benefifiting from its centralized-training and decentralized-execution mechanism. Then a communication module based on LSTM is implemented for effective global coordination. Further, random origin-destination demands (ODs) about different maximum traffific flflows and occurrence times are performed to adapt the actual traffific flflow pattern in practice. We conduct experiments on both synthetic and complicated real Zhongguancun road networks, and the proposed CQmix demonstrates its superiority over the baseline methods.

Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48761
Collection复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
Corresponding AuthorLv, Yisheng
Affiliation1.the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
3.Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation
4.Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, The Cloud Computing Center, Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Chen, Xiaoyu,Xiong, Gang,Lv, Yisheng,et al. A Collaborative Communication-Qmix Approach for Large-scale Networked Traffic Signal Control[C]//IEEE. IEEE:IEEE,2021.
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