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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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