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Railway junction conflict resolution by genetic algorithm

Railway junction conflict resolution by genetic algorithm

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In general, simple and traditional methods are applied to resolve traffic conflicts at railway junctions. They are, however, either inefficient or computationally demanding. A simple genetic algorithm is presented to enable a search for a near optimal resolution to be carried out while meeting the constraints on generation evolution and minimising the search time.

References

    1. 1)
      • D.E. Goldberg . (1989) Genetic algorithms in search, optimisation and machine learning.
    2. 2)
      • T.K. Ho , J.P. Norton , C.J. Goodman . Optimal traffic control at railway junctions. IEE Proc. B , 2 , 140 - 148
    3. 3)
      • Ho, T.K., Goodman, C.J., Norton, J.P.: `An event-based traffic flow model for traffic control at railway junctions', Aspect 95, Int. Conf. Advanced Railway Control, 1995, p. 163–170.
    4. 4)
      • M. Pinedo . (1995) Scheduling theory, algorithms, and systems.
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