Conclusion
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.
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Acknowledgements
This work was supported by National Natural Science Foundation of China (Grant Nos. 62122016, 61973051) and Liaoning Revitalization Talents Program (Grant No. XLYC2007164).
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Supporting information Appendixes A–E. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.
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Ru, X., Mei, C., Xia, W. et al. Distributed model-free adaptive predictive control of traffic lights for multiple interconnected intersections. Sci. China Inf. Sci. 66, 190209 (2023). https://doi.org/10.1007/s11432-022-3825-4
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DOI: https://doi.org/10.1007/s11432-022-3825-4