This paper formulates a two-objective model to optimize the timetables of urban rail transit systems based on energy-saving strategies and service quality levels. With time-dependent passenger demands, the calculation process of passenger travel time simulates boarding and alighting activities with some constraints to guarantee traffic capacity and meet passenger requirements, particularly in the oversaturated conditions. Traction and auxiliary energy consumption are considered in the operational energy consumption calculation. The regenerative energy, which is generated from braking trains and simultaneously used by traction trains, is also taken into account in the calculation with transmission loss. Through adjusting the headway, this model makes a tradeoff between passenger travel time and operational energy consumption with guaranteed traffic capability. Furthermore, a genetic algorithm with the binary encoding method is designed to obtain high-quality timetables. Based on the operational data of the Beijing Yizhuang subway line, we implement some numerical experiments to demonstrate the effectiveness of the proposed approaches.


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    Title :

    Saving Energy and Improving Service Quality: Bicriteria Train Scheduling in Urban Rail Transit Systems


    Contributors:
    Huang, Yeran (author) / Yang, Lixing (author) / Tang, Tao (author) / Cao, Fang (author) / Gao, Ziyou (author)


    Publication date :

    2016-12-01


    Size :

    3392198 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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