Beyond centralization: Non-cooperative perimeter control with extended mean-field reinforcement learning in urban road networks-Reference-Cited by-同舟云学术

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Beyond centralization: Non-cooperative perimeter control with extended mean-field reinforcement learning in urban road networks

Published:2024-08 Issue: Volume:186 Page:103016
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Li Xinghua,Zhang Xinyuan,Qian Xinwu,Zhao Cong,Guo Yuntao^ORCID,Peeta Srinivas

Funder

National Science Foundation

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference79 articles.

1. Perimeter and boundary flow control in multi-reservoir heterogeneous networks;Aboudolas;Transp. Res. B,2013

2. A macroscopic model with the advantages of microscopic model: A review of cell transmission model’s extensions for urban traffic networks;Adacher;Simul. Model. Pract. Theory,2018

3. Observability and controllability of piecewise affine and hybrid systems;Bemporad;IEEE Trans. Automat. Control,2000

4. Introduction to linear optimization;Bertsimas,1997

5. Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics;Chen;Transp. Res. C,2022

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