Scalable Reinforcement Learning Framework for Traffic Signal Control Under Communication Delays-Reference-Cited by-同舟云学术

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Scalable Reinforcement Learning Framework for Traffic Signal Control Under Communication Delays

Published:2024 Issue: Volume:5 Page:330-343
ISSN:2644-1330
Container-title:IEEE Open Journal of Vehicular Technology
language:
Short-container-title:IEEE Open J. Veh. Technol.

Author:

Pang Aoyu¹^ORCID,Wang Maonan¹^ORCID,Chen Yirong²^ORCID,Pun Man-On³^ORCID,Lepech Michael²

Affiliation:

1. Future Network of Intelligence Institute (FNii), Chinese University of Hong Kong, Shenzhen, China

2. Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA

3. School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782711/10345397/10443835.pdf?arnumber=10443835

Reference40 articles.

1. 6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities

2. Traffic Signal Control with Vehicle to Everything Communication

3. Traffic signal timing manual;Koonce,2008

4. Scats-a traffic responsive method of controlling urban traffic;Lowrie,1990

5. A Review of Different Components of the Intelligent Traffic Management System (ITMS)

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