Network-Wide Traffic Signal Control Using Bilinear System Modeling and Adaptive Optimization-Reference-Cited by-同舟云学术

Network-Wide Traffic Signal Control Using Bilinear System Modeling and Adaptive Optimization

Published:2023-01 Issue:1 Volume:24 Page:79-91
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wang Hong¹,Zhu Meixin²,Hong Wanshi³^ORCID,Wang Chieh¹^ORCID,Li Wan¹,Tao Gang⁴^ORCID,Wang Yinhai⁵^ORCID

Affiliation:

1. Buildings and Transportation Science Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA

2. Systems Hub, Intelligent Transportation Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

3. Sustainable Energy and Environmental Systems Department, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

4. Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA

5. Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA

Funder

U.S. Department of Energy, Vehicle Technologies Office, Energy Efficient Mobility Systems (EEMS) Program, Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Consortium

Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

https://ieeexplore.ieee.org/ielam/6979/10026638/9931530-aam.pdf

Reference31 articles.

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2. Traffic congestion mitigation: combining engineering and economic perspectives

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