Locomotive Scheduling Using Constraint Satisfaction Problems Programming Technique

  • Hwang, Jong-Gyu (Dept. of Railway Electrical and Signaling Research, Korea Railroad Research Institute) ;
  • Lee, Jong-Woo (Dept. of Railway Electrical and Signaling Research, Korea Railroad Research Institute) ;
  • Park, Yong-Jin (Div. of Electronic Engineering, Hanyang University)
  • Published : 2004.03.01

Abstract

Locomotive scheduling in railway systems experiences many difficulties because of the complex interrelations among resources, knowledge and various constraints. Artificial intelligence technology has been applied to solve these scheduling problems. These technologies have proved to be efficient in representing knowledge and rules for complex scheduling problems. In this paper, we have applied the CSP (Constraints Satisfaction Problems) programming technique, one of the AI techniques, to solve the problems associated with locomotive scheduling. This method is more effective at solving complex scheduling problems than available mathematical programming techniques. The advanced locomotive scheduling system using the CSP programming technique is realized based on the actual timetable of the Saemaul type train on the Kyong-bu line. In this paper, an overview of the CSP programming technique is described, the modeling of domain and constraints is represented and the experimental results are compared with the real-world existing schedule. It is verified that the scheduling results by CSP programming are superior to existing scheduling performed by human experts. The executing time for locomotive scheduling is remarkably reduced to within several decade seconds, something requiring several days in the case of locomotive scheduling by human experts.

References

  1. A. Radtke, J. Horstel and A. Schumacher, 'Optimised Rostering and Maintaining of High-speed Rail Systems', COMPRAIL'96, pp. 402-409, 1996
  2. C. Kim, 'Exact & Heuristic Solution of Locomotive Scheduling Problems', MS degree paper, 1993
  3. Wright, M.B., 'Applying Stochastic Algorithms to a Locomotive Scheduling Problems', J. Opl, Res.Soc.40, pp. 187-192, 1989
  4. K. Murphy, etc., 'The Scheduling of Rail at Union Pacific Railroad', Ninth Conference on Innovative Application of Artificial Intelligence (IAAI'97), pp. 903-912, 1997
  5. J. G. Hwang and J. W. Lee., 'Interactive Simulation Program for Train Scheduling Using Advanced Expert System', Proceeding of World Congress on Railway Research (WCRR'99) Conference, 1999
  6. Dhar. Vasant and Nicky Ranganathn, 'Integer Programming vs. Expert Systems: An Experimental Comparison', ACM. Vol.33, No.3, pp. 323-336,1990 https://doi.org/10.1145/77481.77485
  7. A. E. Croker and V. Dhar, 'A Knowledge Representation for Constraint Satisfaction Problems', IEEE Trans. on Knowledge and Data Engineering, Vol. 5, No.5, pp. 740-752, Oct. 1993 https://doi.org/10.1109/69.243506
  8. Frost D. and R. Dechter, 'In Search of the Best Constraint Satisfaction Search' , AAAI Press, 1994
  9. V. Kumar, 'Algorithms for Constraint Satisfaction Problems: A Survey', AI Magazine, spring, pp. 32- 44, 1992