A Study on the Real-time Optimization Technique for a Train Velocity Profile

실시간 열차 속도 프로파일 최적화 기법에 관한 연구

  • Kim, Moosun (Metropolitan Transit Convergence Research Division, Korea Railroad Research Institute) ;
  • Kim, Jungtai (Signalling & Communication Research Team, Korea Railroad Research Institute) ;
  • Park, Chul-Hong (Signalling & Communication Research Team, Korea Railroad Research Institute)
  • 김무선 (한국철도기술연구원 광역도시철도융합연구실) ;
  • 김정태 (한국철도기술연구원 지능형신호통신연구팀) ;
  • 박철홍 (한국철도기술연구원 지능형신호통신연구팀)
  • Received : 2016.07.15
  • Accepted : 2016.08.11
  • Published : 2016.08.31


In the point of view of a train operator, the main concern with a train operation is not only to maintain a time schedule, but also to decrease the energy consumption as much as possible. Generally for a manual drive, a train conductor controls the train acceleration and deceleration by controlling the notches not to exceed the regulation velocity by considering the given maximum velocity profile for an operation route. For this case, the guideline for a conductor is needed to choose the proper notches by applying the notch optimization so as to drive at the regulation velocity and minimize energy consumption simultaneously. In this paper, the real-time notch optimization plan is suggested using a genetic algorithm that optimizes the notches for the remaining route in real time when the event occurs that track information or regulation velocity profile of the remaining route changes during train operation as well as a normal operation situation. An energy saving effect and the convergence behavior of the optimal solution obtained was analyzed in a genetic algorithm.


Energy consumption;Genetic algorithm;Notch;Realtime optimization;Velocity profile


Supported by : 한국철도기술연구원


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