A Railway Timetable Rescheduling Approach for Handling Large-Scale Disruptions

References

• Acuna-Agost R, Michelon P, Feillet D, Gueye S (2011a) SAPI: Statistical analysis of propagation of incidents. A new approach for rescheduling trains after disruptions. Eur. J. Oper. Res. 215(1):227–243.Crossref, Google Scholar
• Acuna-Agost R, Michelon P, Feillet D, Gueye S (2011b) A MIP-based local search method for the railway rescheduling problem. Networks 57(1):69–86.Crossref, Google Scholar
• Adenso-Dıaz B, Oliva González M, González-Torre P (1999) On-line timetable re-scheduling in regional train services. Transportation Res. Part B: Methodological 33(6):387–398.Crossref, Google Scholar
• Albrecht A, Panton D, Lee D (2013) Rescheduling rail networks with maintenance disruptions using problem space search. Comput. Oper. Res. 40(3):703–712.Crossref, Google Scholar
• Almodóvar M, García-Ródenas R (2013) On-line reschedule optimization for passenger railways in case of emergencies. Comput. Oper. Res. 40(3):725–736.Crossref, Google Scholar
• Boccia M, Mannino C, Vasilyev I (2013) The dispatching problem on multitrack territories: Heuristic approaches based on mixed integer linear programming. Networks 62(4):315–326.Crossref, Google Scholar
• Brucker P, Heitmann S, Knust S (2002) Scheduling railway traffic at a construction site. OR Spectrum 24(1):19–30.Crossref, Google Scholar
• Cacchiani V, Toth P (2012) Nominal and robust train timetabling problems. Eur. J. Oper. Res. 219(3):727–737.Crossref, Google Scholar
• Cacchiani V, Huisman D, Kidd M, Kroon L, Toth P, Veelenturf L, Wagenaar J (2014) An overview of recovery models and algorithms for real-time railway rescheduling. Transportation Res. Part B: Methodological 63:15–37.Crossref, Google Scholar
• Caimi G, Fuchsberger M, Laumanns M, Lüthi M (2012) A model predictive control approach for discrete-time rescheduling in complex central railway station areas. Comput. Oper. Res. 39(11):2578–2593.Crossref, Google Scholar
• Caprara A, Kroon L, Toth P (2011) Optimization problems in passenger railway systems. Cochran J, Cox L, Keskinocak P, Kharoufed J, Smith JC, eds. Wiley Encyclopedia of Operations Research and Management Science, Vol. 6 (John Wiley & Sons, New York), 3896–3905.Crossref, Google Scholar
• Caprara A, Kroon L, Monaci M, Peeters M, Toth P (2007) Passenger railway optimization. Barnhart C, Laporte G, eds. Transportation, Handbooks Oper. Res. Management Sci., Vol. 14 (Elsevier, Amsterdam), 129–187.Crossref, Google Scholar
• Chu F, Oetting A (2013) Modeling capacity consumption considering disruption program characteristics and the transition phase to steady operations during disruptions. J. Rail Transport Planning Management 3(3):54–67.Crossref, Google Scholar
• Corman F, D’Ariano A, Hansen IA (2014a) Evaluating disturbance robustness of railway schedules. J. Intelligent Transportation Systems 18(1):106–120.Crossref, Google Scholar
• Corman F, D’Ariano A, Hansen IA, Pacciarelli D (2011a) Optimal multi-class rescheduling of railway traffic. J. Rail Transport Planning Management 1(1):14–24.Crossref, Google Scholar
• Corman F, D’Ariano A, Pacciarelli D, Pranzo M (2009) Evaluation of a green wave policy in real-time railway traffic management. Transportation Res. Part C: Emerging Tech. 17(6):607–616.Crossref, Google Scholar
• Corman F, D’Ariano A, Pacciarelli D, Pranzo M (2010) A tabu search algorithm for rerouting trains during rail operations. Transportation Res. Part B: Methodological 44(1):175–192.Crossref, Google Scholar
• Corman F, D’Ariano A, Pacciarelli D, Pranzo M (2012) Bi-objective conflict detection and resolution in railway traffic management. Transportation Res. Part C: Emerging Tech. 20(1):79–94.Crossref, Google Scholar
• Corman F, D’Ariano A, Pacciarelli D, Pranzo M (2014b) Dispatching and coordination in multi-area railway traffic management. Comput. Oper. Res. 44:146–160.Crossref, Google Scholar
• Corman F, D’Ariano A, Hansen I, Pacciarelli D, Pranzo M (2011b) Dispatching trains during seriously disrupted traffic situations. Proc. IEEE Internat. Conf. Networking, Sensing and Control, Delft, Netherlands, 323–328.Crossref, Google Scholar
• D’Ariano A, Pacciarelli D, Pranzo M (2007) A branch and bound algorithm for scheduling trains on a railway network. Eur. J. Oper. Res. 183(2):643–657.Crossref, Google Scholar
• D’Ariano A, Pacciarelli D, Pranzo M (2008b) Assessment of flexible timetables in real-time traffic management of a railway bottleneck. Transportation Res. Part C: Emerging Tech. 16(2):232–245.Crossref, Google Scholar
• D’Ariano A, Corman F, Pacciarelli D, Pranzo M (2008a) Reordering and local rerouting strategies to manage train traffic in real time. Transportation Sci. 42(4):405–419.Link, Google Scholar
• Dollevoet T, Huisman D, Schmidt M, Schöbel A (2012) Delay management with rerouting of passengers. Transportation Sci. 46(1):74–89.Link, Google Scholar
• Jespersen-Groth J (2008) Decision support for the rolling stock dispatcher. Unpublished doctoral thesis, Technical University of Denmark, Copenhagen. http://orbit.dtu.dk/en/publications/decision-support-for-the-rolling-stock-dispatcher(3420727f-5191-4277-aa8e-f0c270f1167a)/export.html.Google Scholar
• Jespersen-Groth J, Clausen J, Larsen J (2006) Optimal reinsertion of cancelled train lines. Technical report, IMM, Technical University of Denmark, Copenhagen, http://www2.imm.dtu.dk/pubdb/p.php?5095.Google Scholar
• Kecman P, Corman F, D’Ariano A, Goverde R (2013) Rescheduling models for railway traffic management in large-scale networks. Public Transport 5(1–2):95–123.Crossref, Google Scholar
• Louwerse I, Huisman D (2014) Adjusting a railway timetable in case of partial or complete blockades. Eur. J. Oper. Res. 235(3):583–593.Crossref, Google Scholar
• Lusby RM, Larsen J, Ehrgott M, Ryan D (2011) Railway track allocation: Models and methods. OR Spectrum 33(4):843–883.Crossref, Google Scholar
• Lusby RM, Larsen J, Ehrgott M, Ryan DM (2013) A set packing inspired method for real-time junction train routing. Comput. Oper. Res. 40(3):713–724.Crossref, Google Scholar
• Mannino C, Mascis A (2009) Optimal real-time traffic control in metro stations. Oper. Res. 57(4):1026–1039.Link, Google Scholar
• Meng L, Zhou X (2014) Simultaneous train rerouting and rescheduling on an N-track network: A model reformulation with network-based cumulative flow variables. Transportation Res. Part B: Methodological 67:208–234.Crossref, Google Scholar
• Narayanaswami S, Rangaraj N (2013) Modelling disruptions and resolving conflicts optimally in a railway schedule. Comput. Indust. Engrg. 64(1):469–481.Crossref, Google Scholar
• Sato K, Tamura K, Tomii N (2013) A MIP-based timetable rescheduling formulation and algorithm minimizing further inconvenience to passengers. J. Rail Transport Planning Management 3(3):38–53.Crossref, Google Scholar
• Schöbel A (2009) Capacity constraints in delay management. Public Transport 1(2):135–154.Crossref, Google Scholar
• Törnquist J (2012) Design of an effective algorithm for fast response to the re-scheduling of railway traffic during disturbances. Transportation Res. Part C: Emerging Tech. 20(1):62–78.Crossref, Google Scholar
• Törnquist J, Persson JA (2007) N-tracked railway traffic re-scheduling during disturbances. Transportation Res. Part B: Methodological 41(3):342–362.Crossref, Google Scholar
• Wiklund M (2007) Serious breakdowns in the track infrastructure—Calculation of the effects on rail traffic. Proc. 2nd Internat. Seminar on Railway Oper. Model. Anal.—RailHannover 2007, Hannover, Germany.Google Scholar