Multi‐agent model‐based predictive control for large‐scale urban traffic networks using a serial scheme-Reference-Cited by-同舟云学术

Multi‐agent model‐based predictive control for large‐scale urban traffic networks using a serial scheme

Published:2015-02 Issue:3 Volume:9 Page:475-484
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Zhou Zhao¹²³,De Schutter Bart³,Lin Shu⁴,Xi Yugeng¹²

Affiliation:

1. Department of AutomationShanghai Jiao Tong UniversityShanghai200240People's Republic of China

2. Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai200240People's Republic of China

3. Delft Center for Systems and Control, Delft University of Technology2628CDDelftThe Netherlands

4. School of Computer and Control Engineering, University of Chinese Academy of ScienceBeijing100049People's Republic of China

Funder

China Scholarship Council

National Natural Science Foundation of China

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2014.0490

Reference32 articles.

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2. OPAC: a demand‐responsive strategy for traffic signal control;Gartner N.H.;Transp. Res. Record,1983

3. A real-time traffic signal control system: architecture, algorithms, and analysis

4. A multivariable regulator approach to traffic-responsive network-wide signal control

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