In modern urban rail transit systems, energy-saving optimization of driving strategies is becoming more and more crucial. This article proposes a coast optimization method based on an improved artificial bee colony algorithm named RR-ABC. In addition to energy saving, punctuality and comfort are also used to build the multi-objective optimization model. In order to get more realistic results, EBI (emergency braking intervention) protection is added to the optimization model. Different with classic ABC algorithm, RR-ABC performs better at local search and initialization. Finally, several simulation cases based on real data from Qingdao metro line 6 are made. The results show that the energy saving rate is 11.55% while meeting the requirements of punctuality and comfort.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Novel Energy-Saving Speed Curve Optimization Method in URT


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Zhang, Zhenyuan (Herausgeber:in) / Wang, Xiaowen (Autor:in) / He, Tong (Autor:in) / Luo, Huan (Autor:in) / Zhang, Jiahui (Autor:in) / Sun, Pengfei (Autor:in) / Wang, Qingyuan (Autor:in)

    Kongress:

    International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021



    Erscheinungsdatum :

    01.06.2022


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch