This paper treats the uncertainties in practical train operations as disturbances in train dynamics and proposes a robust optimization method for multi-train operations. First, the indeterministic problem is transformed into a deterministic problem, by linearizing the train dynamics, analyzing the propagation of disturbances, and introducing new state variables. Then, a nonlinear program (NLP) is developed to solve the deterministic problem. The speed profiles of each train are simultaneously optimized to minimize the total traction energy while ensuring safe-separation among adjacent trains. Our results show that operation constraints and absolute safe time headway can always be guaranteed, even in the worst-case scenarios caused by disturbances.


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    Titel :

    Robust Optimization of Multi-train Energy-efficient and Safe-separation Operation Considering Uncertainty in Train Dynamics


    Beteiligte:
    Chen, Mo (Autor:in) / Murgovski, Nikolce (Autor:in) / Sun, Pengfei (Autor:in) / Wang, Qingyuan (Autor:in) / Feng, Xiaoyun (Autor:in)


    Erscheinungsdatum :

    02.06.2024


    Format / Umfang :

    1802134 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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