Energy efficiency has become one of the major concerns in railway operation today. Generation of energy-efficient train trajectories can be modeled as solving a complex optimization problem with nonlinear and time-varying variables under multiple constraints of equality and inequality, as train operation is a dynamically vacillating process due to complex railway operational conditions. In recent years Driver Advisory System (DAS) is introduced as the system to deliver optimized energy-efficient trajectory to train operation through advisory to the driver based on static or real-time railway operation information. This work proposes a prototype DAS design using a PC as central unit and a smartphone as on-board unit, with a bi-directional message exchange between central unit and on-board unit. An energy-distribution based model and optimization algorithm is developed to derive and to adjust train trajectories. Simulation results are demonstrated the efficiency and robustness of the approach and methods.


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    Title :

    Analysis and design of Driver Advisory System (DAS) for energy-efficient train operation with real-time information


    Contributors:
    Hainan Zhu, (author) / Xubin Sun, (author) / Lei Chen, (author) / Shigen Gao, (author) / Hairong Dong, (author)


    Publication date :

    2016-08-01


    Size :

    1555993 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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