• DocumentCode
    154928
  • Title

    An energy-efficient adjustment approach in subway systems

  • Author

    Erchao Chen ; Xin Yang ; Yi Ding

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    2774
  • Lastpage
    2779
  • Abstract
    The delays of trains have serious impact on the efficiency of operation, and on the passenger satisfaction which reduces the quality of service. The quality of service needs to be enhanced and the energy saving is drawing more and more attentions. In this paper, we propose an energy-efficient adjustment approach to mitigate the delays of trains, and to decrease energy consumption, simultaneously. To reduce energy consumption, energy-efficient operation strategies are considered. We seek the best coasting point to decrease the tractive energy. And we optimize the overlapping time of accelerating phase and braking phase for contiguous trains to increase the utilization of regenerative braking energy. Finally, the simulation is presented to show the proposed approach. We illustrate that the current adjustment approach could result in unnecessary energy consumption. By contrast, our approach can observably mitigate the delays of trains, and provide better energy-efficient effect.
  • Keywords
    genetic algorithms; railways; regenerative braking; accelerating phase; braking phase; coasting point; energy consumption reduction; energy saving; energy-efficient adjustment approach; energy-efficient operation strategies; overlapping time optimization; passenger satisfaction; quality-of-service reduction; regenerative braking energy; subway systems; tractive energy reduction; train delay mitigation; Acceleration; Delays; Energy consumption; Genetic algorithms; Linear programming; Optimization; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6958134
  • Filename
    6958134