Research on Mechanical Automation with Analysis of Mixed Train Scheduling Problem on the High-Speed Rail Line

Abstract:

In this paper, we study mechanical automation with analysis of mixed train scheduling problem on the high-speed rail line and present a new simulation approach for solving the mixed train scheduling problem on a high-speed double-track rail line. Based on the discrete-time movement model, we propose control strategies for mixed train movement on a high-speed double-track rail line. Using our proposed method, we can effectively simulate the mixed train schedule on a rail line. The numerical results demonstrate that a proper decrease of the departure intervals can enhance the capacity.

• Periodical: Advanced Materials Research (Volume 738)
• Pages: 219-222
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.738.219
• Online since: August 2013
• Authors: Cheng Xuan Cao, Ya Hua Sun, Chao Wu
• Keywords: Discrete-Time Model, Rail Traffic Flow, Simulation, Train Control

References

[1] B. Szpigel, Optimal train scheduling on a single line railway, Operations research, vol. 72, pp.344-351, (1973).

[2] R.L. Sauder and W.M. Westerman, Computer aided train dispatching: decision support through optimization, , Interfaces, vol. 13, pp.24-37, (1983).

DOI: 10.1287/inte.13.6.24

[3] A. Higgins, E. Kozan, and L. Ferreira, Optimal scheduling of trains on a single line track, Transportation Research Part B, vol. 30, pp.147-161, (1996).

DOI: 10.1016/0191-2615(95)00022-4

[4] M.J. Dorfman and J. Medanic, Scheduling trains on a railway network using a discrete event model of railway traffic, Transportation Research Part B, vol. 38, no. 1, pp.81-98, (2004).

DOI: 10.1016/s0191-2615(03)00006-7

[5] K. Li and Z. Gao, Network-based simulation approach for scheduling trains on rail networks, International Journal of Modern Physics C, vol. 17, no. 9, pp.1349-1358, (2006).

DOI: 10.1142/s0129183106009710

[6] K. Li and Z. Gao, An improved equation model for the train movement, Simulation Modelling Practice and Theory, vol. 15, no. 9, pp.1156-1162, (2007).

DOI: 10.1016/j.simpat.2007.07.006

[7] K. Li, Z. Gao, and L. Yang, Modeling and simulation for train control system using cellular automata, Science in China Series E, vol. 50, no. 6, pp.765-773, (2007).

DOI: 10.1007/s11431-007-0080-7

[8] F. Li, Z. Gao, K. Li, and L. Yang, Efficient scheduling of railway traffic based on global information of train, Transportation Research Part B, vol. 42, no. 10, pp.1008-1030, (2008).

DOI: 10.1016/j.trb.2008.03.003