• DocumentCode
    144817
  • Title

    Research on subway trains´ energy conservation running based on PSO

  • Author

    Wenbin Hu ; Qisheng Sun ; JianGuo Lv

  • Author_Institution
    Nanjing Univ. of Sci. & Technol., Nanjing, China
  • Volume
    2
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    1325
  • Lastpage
    1329
  • Abstract
    Railway transit service is now the major transportation means in urban public transit system, fixed section running time is the main merit. Meanwhile, metro takes the most part of energy consumption in urban public transit system. How to improve the energy utilization rate is the technical problem to hinder the development of it. Combined with the actual vehicle line sections of Nanjing Metro Line 2, make use of PSO to optimize vehicle´s operation model with timing-energy conservation strategy, compare with the result of GA, the results demonstrate that PSO meet the request of timed energy conservation optimization.
  • Keywords
    energy conservation; genetic algorithms; particle swarm optimisation; power consumption; public transport; railways; GA; Nanjing Metro Line 2; PSO; energy consumption; energy utilization rate improvement; genetic algorithms; particle swarm optimisation; railway transit service; subway train energy conservation; timing-energy conservation strategy; urban public transit system; vehicle operation model optimization; Analytical models; Energy conservation; Energy consumption; Genetic algorithms; Optimization; Particle swarm optimization; Rail transportation; PSO; energy conservation; railway transit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6947887
  • Filename
    6947887