Traffic Signal Control Based on Reinforcement Learning and Fuzzy Neural Network-Reference-Cited by-同舟云学术

Traffic Signal Control Based on Reinforcement Learning and Fuzzy Neural Network

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Zhao Hongxia¹,Chen Songhang²,Zhu Fenghua¹,Tang Haina³

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Management and Control for Complex Systems,Beijing,China,100190

2. Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences,Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System,Fuzhou,China,350002

3. School of Artificial Intelligence, University of Chinese Academy of Sciences,Beijing,China,100049

Funder

National Natural Science Foundation of China

State Key Laboratory for Management and Control of Complex Systems

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922570.pdf?arnumber=9922570

Reference31 articles.

1. Using Reinforcement Learning With Partial Vehicle Detection for Intelligent Traffic Signal Control

2. Traffic signal timing via deep reinforcement learning

3. A Switching-Based Adaptive Dynamic Programming Method to Optimal Traffic Signaling

4. A Cooperative Multiagent System for Traffic Signal Control Using Game Theory and Reinforcement Learning

5. Consistent Population Synthesis With Multi-Social Relationships Based on Tensor Decomposition

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