This paper proposes an energy-efficient trajectory planning approach for high speed trains to reduce the traction energy consumption. Firstly, an optimization model is developed by defining the objective function as a weighted sum of the traction energy consumption and passengers’ riding comfort. Besides the constraints in the classic optimal train control problem (such as the trip time, running resistance, speed limit, and the train characteristics), the discrete throttles, split phase zone, and the sectionalized tunnel resistance are introduced in this paper. Then, all the nonlinear constraints are approximated through the piecewise affine function and the energy-efficient trajectory planning problem is turned into an mixed integer linear programming (MILP) problem. The MILP problem can be solved by existing solvers CPLEX and YALMIP. Finally, some cases are conducted to illustrate the effectiveness of the proposed approach. The result shows that the traction energy consumption is increased by 4.5% when the ridding comfort is taken into consideration.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Energy-efficient trajectory planning for high-speed trains via an mixed integer linear programming approach


    Beteiligte:
    Cheng, F. (Autor:in) / Su, S. (Autor:in) / Zhang, M. (Autor:in) / Li, K. (Autor:in) / Tang, T. (Autor:in) / Yuan, L. (Autor:in)


    Erscheinungsdatum :

    01.10.2019


    Format / Umfang :

    218813 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach

    Cao, Yuan / Zhang, Zixuan / Cheng, Fanglin et al. | IEEE | 2022


    Optimal trajectory planning for trains using mixed integer linear programming

    Yihui Wang, / De Schutter, B. / Bin Ning, et al. | IEEE | 2011



    Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains

    Huazhen Yu / Yihui Wang / Andrea D’Ariano et al. | DOAJ | 2023

    Freier Zugriff

    Partial Train Speed Trajectory Optimization Using Mixed-Integer Linear Programming

    Lu, Shaofeng / Wang, Ming Qiang / Weston, Paul et al. | IEEE | 2016