With the increasing energy consumption in urban rail transit systems, energy-efficient train operation has been paid significant attention. Considering the application of regenerative braking technology, many studies focus on offline energy-saving train trajectory optimization, in which an accelerating regime is inserted into the train trajectory when there is regenerative braking energy (RBE) that can be utilized. However, in practical operation, train states are dynamic and scheduled trajectory might be useless. This paper proposes a real-time cooperative train control method based on Train-to-Train (T2T) communication technology. According to the train states transmitted through T2T communication, whether there is a train in braking regime is judged. Besides, an accelerating regime is inserted by changing train running modes when there is another train in the braking regime. A cooperative control algorithm is developed to achieve the energy-efficient cooperative control strategy. Besides, simulations based on a real-life metro line demonstrate that the proposed cooperative control method can reduce substation energy consumption and improve the utilization of RBE.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Energy-Efficient Train Control in Urban Rail Transit: Multi-Train Dynamic Cooperation based on Train-to-Train Communication


    Contributors:
    Jin, Bo (author) / Fang, Qian (author) / Wang, Qingyuan (author) / Sun, Pengfei (author) / Feng, Xiaoyun (author)


    Publication date :

    2021-07-11


    Size :

    2488806 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    ENERGY-EFFICIENT TRAIN CONTROL IN URBAN RAIL TRANSIT: MULTI-TRAIN DYNAMIC COOPERATION BASED ON TRAIN-TO-TRAIN COMMUNICATION

    Jin, Bo / Fang, Qian / Wang, Qingyuan et al. | British Library Conference Proceedings | 2021


    Energy-Efficient Train Control by Multi-Train Dynamic Cooperation

    Sun, Xubin / Lu, Hong / Dong, Hairong | IEEE | 2017




    Energy-efficient train control in urban rail transit systems

    Su, Shuai / Tang, Tao / Chen, Lei et al. | SAGE Publications | 2015