Cooperative Optimization of Traffic Signals and Vehicle Speed Using a Novel Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Cooperative Optimization of Traffic Signals and Vehicle Speed Using a Novel Multi-Agent Deep Reinforcement Learning

Published:2024-06 Issue:6 Volume:73 Page:7785-7798
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Huang Hao¹,Hu Zhiqun¹^ORCID,Li Muyu²^ORCID,Lu Zhaoming¹^ORCID,Wen Xiangming¹^ORCID

Affiliation:

1. Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

2. China Mobile Online Marketing Service Center, Zhengzhou, China

Funder

Beijing Natural Science Foundation

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10564808/10420494.pdf?arnumber=10420494

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4. Overview of V2V and V2I Wireless Communication for Cooperative Vehicle Infrastructure Systems

5. Traffic Signal Control with Connected Vehicles

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