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Cuckoo search approach for automatic train regulation under capacity limitation

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References

  1. Ning B, Dong H R, Gao S G, et al. Distributed cooperative control of multiple high-speed trains under a moving block system by nonlinear mapping-based feedback. Sci China Inf Sci, 2018, 61: 120202

    Article  Google Scholar 

  2. Yin J, Tang T, Yang L, et al. Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: an approximate dynamic programming approach. Transpation Res Part B-Methodol, 2016, 91: 178–210

    Article  Google Scholar 

  3. Hou Z, Dong H, Gao S, et al. Energy-saving metro train timetable rescheduling model considering ATO profiles and dynamic passenger flow. IEEE Trans Intell Transp Syst, 2019, 20: 2774–2785

    Article  Google Scholar 

  4. Li S, Dessouky M M, Yang L, et al. Joint optimal train regulation and passenger flow control strategy for high-frequency metro lines. Transpation Res Part B-Methodol, 2017, 99: 113–137

    Article  Google Scholar 

  5. Niu H, Zhou X, Gao R. Train scheduling for minimizing passenger waiting time with time-dependent demand and skipstop patterns: nonlinear integer programming models with linear constraints. Transpation Res Part B-Methodol, 2015, 76: 117–135

    Article  Google Scholar 

  6. Kang L, Wu J, Sun H, et al. A practical model for last train rescheduling with train delay in urban railway transit networks. Omega, 2015, 50: 29–42

    Article  Google Scholar 

  7. Puong A. Dwell time model and analysis for the MBTA red line. Massachusetts Inst Technol Res Memo, 2000

  8. Yang X-S. Nature-Inspired Metaheuristic Algorithms. 2nd ed. Frome: Luniver Press, 2010

    Google Scholar 

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Acknowledgements

This work was jointly supported by National Natural Science Foundation of China (Grant Nos. 61925302, U1834211) and State Key Laboratory of Rail Traffic Control and Safety (Grant No. RCS2020ZZ002).

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Correspondence to Min Zhou or Hairong Dong.

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Appendixes A–C. 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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Hou, Z., Zhou, M., Roberts, C. et al. Cuckoo search approach for automatic train regulation under capacity limitation. Sci. China Inf. Sci. 66, 149204 (2023). https://doi.org/10.1007/s11432-020-3254-0

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  • DOI: https://doi.org/10.1007/s11432-020-3254-0

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