Abstract
To generate line plan in emergencies for railway networks to complete the passenger transportation, we first build a mathematical model in this chapter, focusing on the frequency setting and stops setting. Then, considering the OD passenger flow data, we first propose the method to solve the train frequency setting problem of different types. Genetic algorithm is designed to solve the stops setting problem. The approach is tested with the data from the Beijing–Shanghai high-speed railway and its neighbor existing railway. We find that the model is suitable to generate line plan in emergencies for railway networks and the algorithm has good calculating performance. The new method to generate line plan proposed in this chapter can be embedded in the decision support system for railway operators.
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References
Bussieck, M. (1998). Optimal lines in public rail transport (Ph.D. thesis). Technischen Universität Braunschweig, Braunschweig.
Carey, M., & Lockwood, D. (1995). Model, algorithms and strategy for train pathing. Journal of the Operational Research Society, 46(8), 988–1005.
Chakroborty, P., & Dwivedi, T. (2002). Optimal route network design for transit systems using genetic algorithms. Engineering Optimization, 34(1), 83–100.
Ghoseiri, K., & Morshedsolouk, F. (2006). ACS-TS: Train scheduling using ant colony system. Journal of Applied Mathematics and Decision Sciences, Article ID 95060, 28. doi:10.1155/JAMDS/2006/95060
Guihaire, V., & Hao, J. (2008). Transit network design and scheduling: A global review. Transportation Research Part A, 42, 1251–1273.
Jovanovic, D., & Harker, P. (1991). Tactical scheduling of rail operations: SCAN I system. Transportation Sciences, 25(1), 46–64.
Lindner, T. (2000). Train schedule optimization in public rail transport (Ph.D. thesis). Technischen Universität Braunschweig, Braunschweig.
Mandl, C. E. (1979). Evaluation and optimization of urban public transportation networks. European Journal of Operational Research, 5, 396–404.
Meng, X., Jia, L., Qi, Y., Xu, J., & Wang, L. (2012). Calculation of railway transport capacity in an emergency based on Markov process. Journal of Beijing Institute of Technology, 21(1), 77–80.
Michaelis, M., & Schöbel, A. (2009). Integrating line planning, timetabling, and vehicle scheduling: A customer-oriented heuristic. Public Transport, 1(3), 211–232.
Murray, A. T. (2003). A coverage model for improving public transit system accessibility and expanding access. Annals of Operations Research, 123, 143–156.
Patz, A. (1925). Die richtige Auswahl von Verkehrslinien bei gro en Stra enbahnnetzen. Verkehrstechnik, 50/51.
Sonntag, H. (1977). Linienplanung im ffentlichen personennahverkehr (Ph.D. Thesis). Technische Universitt Berlin, Berlin.
Xiong, Y., & Schneider, J. B. (1993). Transportation network design using a cumulative algorithm and neural network. Transportation Research Record, 1364, 37–44.
Zhao, F., & Ubaka, I. (2004). Transit network optimization—Minimizing transfers and optimizing route directness. Journal of Public Transportation, 7(1), 67–82.
Zhao, F., & Zeng, X. (2006). Simulated annealing–genetic algorithm for transit network optimization. Journal of Computing in Civil Engineering, 20(1), 57–68.
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Jia, L., Meng, X., Qin, Y. (2017). Line Planning in Emergencies for Railway Network. In: Train Operation in Emergencies. Advances in High-speed Rail Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-4597-4_5
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DOI: https://doi.org/10.1007/978-981-10-4597-4_5
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