Hierarchical graph multi-agent reinforcement learning for traffic signal control-Reference-Cited by-同舟云学术

Hierarchical graph multi-agent reinforcement learning for traffic signal control

Published:2023-07 Issue: Volume:634 Page:55-72
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Yang Shantian^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference43 articles.

1. Pollution and congestion in urban areas: The effects of low emission zones;Bernardo;Econ. Transport.,2021

2. Tackling urban traffic congestion: the experience of London, Stockholm and Singapore;Metz;Case Stud. Transport Policy,2018

3. P. Varaiya. The max-pressure controller for arbitrary networks of signalized intersections. Complex Networks and Dynamic System, 27-66, 2013. https://doi.org/10.1007/978-1-4614-6243-9_2.

4. An optimal general type-2 fuzzy controller for Urban Traffic Network;Khooban;ISA Trans.,2017

5. Neural networks for real-time traffic signal control;Srinivasan;IEEE Trans. Intelligent Transport. Syst.,2006

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