Conclusion
This work proposed stochastic network control strategies for traffic congestion on roads from the perspectives of internal guidance and external intervention. Using three steps: establishing the controlled model, analyzing control effects theoretically, and conducting simulation experiments, the effectiveness of information guidance and random guidance is verified from both the theoretical and simulation perspectives, thereby offering a novel avenue for addressing traffic congestion.
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Acknowledgements
This work was supported in part by National Natural Science Foundation of China (Grant Nos. 62273157, 62322310, 62333006), Guangdong Basic and Applied Basic Research Foundation (Grant No. 2023B1515020091).
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Supporting information Appendixes A–D. 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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Zhong, X., Pang, B., Deng, F. et al. Hybrid stochastic control strategy by two-layer networks for dissipating urban traffic congestion. Sci. China Inf. Sci. 67, 140204 (2024). https://doi.org/10.1007/s11432-023-3983-7
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DOI: https://doi.org/10.1007/s11432-023-3983-7