Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/140590
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Type: Journal article
Title: Distributed model-free adaptive predictive control of traffic lights for multiple interconnected intersections
Author: Ru, X.
Mei, C.
Xia, W.
Shi, P.
Citation: Science China Information Sciences, 2023; 66(9):190209-1-190209-2
Publisher: Springer
Issue Date: 2023
ISSN: 1674-733X
1869-1919
Statement of
Responsibility: 
Xinfeng Ru, Chenyi Mei, Weiguo Xia, Peng Shi
Abstract: In this study, a novel data-driven approach, DED-MFAPC, was proposed for traffic light control of multi-intersection networks. In the future, the fuel economy and emissions of vehicles and the case when the traffic lights and vehicle dynamics are simultaneously optimized are worthy of investigation. Another future direction would be calculating the offset of the signals and the cycle time by the data-driven method.
Description: Letter
Rights: © Science China Press 2023
DOI: 10.1007/s11432-022-3825-4
Grant ID: http://purl.org/au-research/grants/arc/DP240101140
Published version: http://dx.doi.org/10.1007/s11432-022-3825-4
Appears in Collections:Research Outputs

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