Abstract
Train pathing is a typical problem which is to assign the train trips on the sets of rail segments, such as rail tracks and links. This chapter focuses on the train pathing problem, determining the paths of the train trips in emergencies. We analyze the influencing factors of train pathing, such as transferring cost, running cost, and social adverse effect cost. With the overall consideration of the segment and station capability constraints, we build the fuzzy linear programming model to solve the train pathing problem. We design the fuzzy membership function to describe the fuzzy coefficients. Furthermore, contraction–expansion factors are introduced to contract or expand the value ranges of the fuzzy coefficients, coping with the uncertainty of the value range of the fuzzy coefficients. We propose a method based on triangular fuzzy coefficient and transfer the train pathing (fuzzy linear programming model) to a determinate linear model to solve the fuzzy linear programming problem. An emergency is presented which is based on the real data of the Beijing–Shanghai Railway. The model in this chapter was solved and the computation results prove the availability of the model and efficiency of the algorithm.
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References
Blum, J., & Eskandarian, A. (2002). Enhancing intelligent agent collaboration for flow optimization of railroad traffic. Transportation Research Part A, 36(10), 919–930.
Caimi, G., Chudak, F., Fuchsberger, M., Laumanns, M., & Zenklusen, R. (2011). A new resource-constrained multicommodity flow model for conflict-free train routing and scheduling. Transportation Science, 45(2), 212–227.
Caprara, A., Kroon, L. G., Monaci, M., Peeters, M., & Toth, P. (2007). Passenger railway optimization, Chap. 3. In C. Barnhart & G. Laporte (Eds.), Handbooks in operations research and management science (Vol. 14, pp. 129–187). Amsterdam: Elsevier.
Carey, M. (1994a). A model and strategy for train pathing with choice of lines, platforms, and routes. Transportation Research Part B, 28(5), 333–353.
Carey, M. (1994b). Extending a train pathing model from one-way to two-way track. Transportation Research Part B, 28(5), 395–400.
Carey, M., & Crawford, I. (2007). Scheduling trains on a network of busy complex stations. Transportation Research Part B, 41(2), 159–178.
Carey, M., & Lockwood, D. (1995). Model, algorithms and strategy for train pathing. Journal of the Operational Research Society, 46(8), 988–1005.
Cordeau, J., Toth, P., & Vigo, D. (1998). A survey of optimization models for train routing and scheduling. Transportation Science, 32(4), 380–404.
D’Ariano, A., Corman, F., Pacciarelli, D., & Pranzo, M. (2008). Reordering and local rerouting strategies to manage train traffic in real time. Transportation Science, 42(4), 405–419.
D’Ariano, A., & Pranzo, M. (2009). An advanced real-time train dispatching system for minimizing the propagation of delays in a dispatching area under severe disturbances. Networks and Spatial Economics, 9(1), 63–84.
Dorfman, M. J., & Medanic, J. (2004). Scheduling trains on a railway network using a discrete event model of railway traffic. Transportation Research Part B, 38(1), 81–98.
Erlebach, T., Gantenbein, M., Hürlimann, D., Neyer, G., Pagourtzis, A., Penna, P., et al. (2001). On the complexity of train assignment problems. In Proceedings of ISAAC01 (Vol. 2223, pp. 390–402). Lecture Notes in Computer Science.
Lee, Y., & Chen, C. Y. (2009). A heuristic for the train pathing and timetabling problem. Transportation Research Part B, 43(8–9), 837–851.
Li, F., Gao, Z., Li, K., & Wang, Z. (2013). Train routing model and algorithm combined with train scheduling. Journal of Transportation Engineering, 139(1), 81–91. (in Chinese).
Li, W., & Lu, W. (1997). Exploration on index calculating method of railway transportation cost. Journal of the China Railway Society, 19(5), 15–20. (in Chinese).
Lusby, R. M., Larsen, J., & Ryan, D. M. (2013). A set packing inspired method for real-time junction train routing. Computers & Operations Research, 40(3), 713–724.
Meng, X., Jia, L., Chen, C., Xu, J., Wang, L., & Xie, J. (2009). Paths generating in emergency on china new railway network. Journal of Beijing Institute of Technology, 19(S2), 84–88. (in Chinese).
Meng, X., Jia, L., & Qin, Y. (2010). Train timetable optimizing and re-scheduling based on improved particle swarm algorithm. Journal of Transportation Research Record, 2(2197), 71–79.
Narayanaswami, S., & Rangaraj, N. (2011). Scheduling and re-scheduling of railway operations: A review and expository analysis. Technology Operation Management, 2(2), 102–122.
Pellegrini, P., Marlière, G., & Rodriguez, J. (2014). Optimal train routing and scheduling for managing traffic perturbations in complex junctions. Transportation Research Part B, 59(59), 58–80.
Pu Z. (1999). On calculation of cost of normal speed train transferring to high-speed railway (Master’s thesis). Southweat Jiaotong University, Chengdu, China.
Qi, X., & Xiong, J. (2008). Optimization model of organization of passenger trains running crossing PDLs and existing railways. Railway Transport and Economy, 30(4), 16–19.
Törnquist, J. (2007). Railway traffic disturbance management—An experimental analysis of disturbance complexity, management objectives and limitations in planning horizon. Transportation Research Part A, 41(3), 249–266.
Yang, L., Gao, Z., Li, X., & Li, K. (2011). A weighted min–max model for balanced freight train routing problem with fuzzy information. Engineering Optimization, 43(12), 1289–1309.
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Jia, L., Meng, X., Qin, Y. (2017). Train Re-Pathing in Emergencies Based on Fuzzy Linear Programming. In: Train Operation in Emergencies. Advances in High-speed Rail Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-4597-4_6
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DOI: https://doi.org/10.1007/978-981-10-4597-4_6
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