Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning-Reference-Cited by-同舟云学术

Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

Published:2019-01-03 Issue:1 Volume:24 Page:1-10
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Xu Ming¹,Wu Jianping¹,Huang Ling²,Zhou Rui³,Wang Tian⁴,Hu Dongmei¹

Affiliation:

1. Department of Civil Engineering, Tsinghua University, Beijing, China;

2. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China;

3. Telecommunications Engineering with Management, International School, Beijing University of Posts and Telecommunications, Beijing, China;

4. E-commerce and Law, International School, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Toyota Research Center

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2018.1527694

Reference26 articles.

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4. Identification of Central Points in Road Networks using Betweenness Centrality Combined with Traffic Demand

5. Brin, S. & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. In P. H. Enslow & A. Ellis (Eds.) WWW 1998. Proceedings of the 7th International Conference on World Wide Web (pp. 107–117). Brisbane, Australia: Elsevier Science Publishers B. V.

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