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https://hdl.handle.net/2440/140590
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DC Field | Value | Language |
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dc.contributor.author | Ru, X. | - |
dc.contributor.author | Mei, C. | - |
dc.contributor.author | Xia, W. | - |
dc.contributor.author | Shi, P. | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Science China Information Sciences, 2023; 66(9):190209-1-190209-2 | - |
dc.identifier.issn | 1674-733X | - |
dc.identifier.issn | 1869-1919 | - |
dc.identifier.uri | https://hdl.handle.net/2440/140590 | - |
dc.description | Letter | - |
dc.description.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. | - |
dc.description.statementofresponsibility | Xinfeng Ru, Chenyi Mei, Weiguo Xia, Peng Shi | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.rights | © Science China Press 2023 | - |
dc.source.uri | http://dx.doi.org/10.1007/s11432-022-3825-4 | - |
dc.title | Distributed model-free adaptive predictive control of traffic lights for multiple interconnected intersections | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1007/s11432-022-3825-4 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/DP240101140 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Shi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435] | - |
Appears in Collections: | Research Outputs |
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