Critical Incident Management and Clearance Practices for Rail Transit (2015)

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48 Design and Operation in the Railway and Other Transit Systems, WTI Press, Billerica, Mass., 2012. pp. 543–553. 26. Meng, L. and X. Zhao, “Robust Train-Dispatching Model under a Dynamic and Stochastic Environment: A Scenario-Based Rolling Horizon Solution Approach,” Transportation Research Part B: Methodological, Vol. 45, No. 7, Aug. 2011, pp. 1080–1102. 27. Lorek, M., S. Fekete, A. Kroller, and M. Pfetsch, “Dis- ruption Management With Rescheduling of Trips and Vehicle Circulations,” ASME/ASCE/IEEE 2011 Joint Rail Conference (JRC2011), American Society of Mechanical Engineers, Fairfield, N. J., 2011. 28. Preston, J., J. Armstrong, C. Bouch, C. Goodman, P. Weston, and R. Tagaki, “Decision Support System for Dynamic Re-Scheduling of Trains under Disturbance,” World Conference on Transport Research Society, Lyon, France, 11th World Conference on Transport Research, Berkeley, Calif., June 2007. 29. Kraseman, J., “Pros and Cons of Increased Complex- ity in Re-Scheduling Strategies for Railway Traffic Dis- turbances: A Swedish Case,” ITS America, Washington, D.C., 16th ITS World Congress and Exhibition on Intelli- gent Transport Systems and Services, Stockholm, Sweden, Sep. 2009. 30. Valdes, D., F. Martinez-Marinez, B. Colucci-Rios, and S. Bartolomei-Suarez, “Simulation of Metro Operations under Disruptions: Application to Tren Urbano in San Juan, Puerto Rico,” TRB 85th Annual Meeting Compen- dium of Papers, CD-ROM, 2006. 31. Schranil, S. and U. Weidmann, “Forecasting the Dura- tion of Rail Operation Disturbances,” TRB 92nd Annual Meeting Compendium of Papers, CD-ROM, 2013.