How to cite this paper
Yaghini, M., Alimohammadian, A & Sharifi, S. (2002). A goal programming technique for railroad passenger scheduling.Management Science Letters , 2(2), 535-542.
Refrences
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Br?nmo, G., Nygreen, B., & Lysgaard, J. (2010). Column generation approaches to ship scheduling with flexible cargo sizes. European Journal of Operational Research, 200(1), 139-150.
Burdett, R. L., & Kozan, E. (2009). Techniques for inserting additional trains into existing timetables. Transportation Research, Methodological, 43(8-9), 821-836.
Claessens, M. T., van Dijk, N. M., & Zwaneveld, P. J. (1998). Cost optimal allocation of passenger lines. European Journal of Operational Research, 110, 474–489.
Chung, J., Moo, S., & Choi, I. (2009). A hybrid genetic algorithm for train sequencing in the Korean railway. Omega, 37(3), 55-65.
D’Ariano, A., Pacciarelli, D., & Pranzo, M. (2007). A branch and bound algorithm for scheduling trains in a railway network. European Journal of Operational Research, 183(2), 643-657.
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Goossens, J. W., Hoesel, S. V., & Kroon, L. (2006). On solving multi-type railway line planning problem. European Journal of Operational Research, 168(2), 403-424.
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Liu, S.Q., & Kozan, E. (2009). Scheduling trains as a blocking parallel-machine job shop scheduling problem. Computers & Operations Research, 36(10), 2840-2852.
Lee, Y., & Chen, C. (2009). A heuristic for the train pathing and timetabling problem. Transportation Research, Methodological, 43(8-9), 837-851.
Mesquita, M., & Paias, A. (2008). Set partitioning/covering-based approaches for the integrated vehicle and crew scheduling problem. Computers & Operations Research, 35(5) 1562-1575.
Peeters, M., & Kroon, L. (2008). Circulation of railway rolling stock: a branch-and-price approach.
Computers & Operations Research, 35(2), 538-556.
Scholl, S. (2005). Customer-oriented line planning. PhD thesis, University of Kaiserslautern.
Suryani, E., Chou, S., & Chen, C. H. (2010). Air passenger demand forecasting and passenger terminal capacity expansion: A system dynamics framework. Expert Systems with Applications, 37(3), 2324-2339.
Tsai, T. H., Lee, C. K., & Wei, C. H. (2009). Neural network based temporal feature models for short-term railway passenger demand forecasting. Expert Systems with Applications, 36(2), 3728-3736.
Bussieck, M. R., Kreuzer, P., & Zimmermann, U. T. (1996). Optimal lines for railway systems. European Journal of Operational Research, 96, 54–63.
Br?nmo, G., Nygreen, B., & Lysgaard, J. (2010). Column generation approaches to ship scheduling with flexible cargo sizes. European Journal of Operational Research, 200(1), 139-150.
Burdett, R. L., & Kozan, E. (2009). Techniques for inserting additional trains into existing timetables. Transportation Research, Methodological, 43(8-9), 821-836.
Claessens, M. T., van Dijk, N. M., & Zwaneveld, P. J. (1998). Cost optimal allocation of passenger lines. European Journal of Operational Research, 110, 474–489.
Chung, J., Moo, S., & Choi, I. (2009). A hybrid genetic algorithm for train sequencing in the Korean railway. Omega, 37(3), 55-65.
D’Ariano, A., Pacciarelli, D., & Pranzo, M. (2007). A branch and bound algorithm for scheduling trains in a railway network. European Journal of Operational Research, 183(2), 643-657.
Ghoseiri, K., & Ghannadpour, F. (2010). A hybrid genetic algorithm for multi-depot homogenous locomotive assignment with time windows. Applied Soft Computing, 10(1), 53-65.
Goossens, J. W., Hoesel, S. V., & Kroon, L. (2006). On solving multi-type railway line planning problem. European Journal of Operational Research, 168(2), 403-424.
Goossens, J. H. M., van Hoesel, C. P. M., & Kroon, L. G. (2004). A branch-and-cut approach for solving railway line-planning problems. Transportation Science, 38, 379–393.
Kroeger, A. (2005). Retiring the Crow Rate: A Narrative of Political Management. University of Alberta Press, 280.
Lindner, T. ( 2000). Train schedule optimization in public rail transport. PhD thesis, TU Braunschweig.
Liu, S.Q., & Kozan, E. (2009). Scheduling trains as a blocking parallel-machine job shop scheduling problem. Computers & Operations Research, 36(10), 2840-2852.
Lee, Y., & Chen, C. (2009). A heuristic for the train pathing and timetabling problem. Transportation Research, Methodological, 43(8-9), 837-851.
Mesquita, M., & Paias, A. (2008). Set partitioning/covering-based approaches for the integrated vehicle and crew scheduling problem. Computers & Operations Research, 35(5) 1562-1575.
Peeters, M., & Kroon, L. (2008). Circulation of railway rolling stock: a branch-and-price approach.
Computers & Operations Research, 35(2), 538-556.
Scholl, S. (2005). Customer-oriented line planning. PhD thesis, University of Kaiserslautern.
Suryani, E., Chou, S., & Chen, C. H. (2010). Air passenger demand forecasting and passenger terminal capacity expansion: A system dynamics framework. Expert Systems with Applications, 37(3), 2324-2339.
Tsai, T. H., Lee, C. K., & Wei, C. H. (2009). Neural network based temporal feature models for short-term railway passenger demand forecasting. Expert Systems with Applications, 36(2), 3728-3736.