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  http://ieeexplore.ieee.org/iel5/59/32048/01490588.pdf?arnumber=1490588

  Optimization of an MRT Train Schedule: Reducing Maximum Traction Power by Using Genetic Algorithms Chen, J.-F.; Lin, R.-L.; Liu, Y.-C. Power Systems, IEEE Transactions on Volume 20, Issue 3, Aug. 2005 ... Page(s): 1366 - 1372 Digital Object Identifier 10.1109/TPWRS.2005.851939 Summary: Because of the traction power load characteristics of mass rapid transit (MRT) systems, a significant difference exists between the peak and valley of the traction power load curve. Furthermore, an extremely high traction power peak occurs if numerous trains are accelerating simultaneously. Careful train scheduling can avoid the simultaneous acceleration of too many trains, thus reducing maximum traction power. This paper employs genetic algorithms to optimize train scheduling and uses the Kaohsiung MRT system as an example. Simulation results show that the proposed method can significantly reduce the maximum traction power. » View citation and abstract Log in by entering your IEEE Web Account Username and P   [More...] [Less...]

  First added: 24 July 2008, by: Laura Cage  [Report as spam]

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  Tags:  ets, rail, rail risk management, risk management, traction systems