Recovery of disruptions in rapid transit networks

Transportation Research Part E: Logistics and Transportation Review

Volumn 53, Issue 1, 2013, Pages 15-33

  Cadarso, Luis ^a   Marín, ángel ^a   Maróti, Gábor ^b  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b Netherlands Railways   (Netherlands)

Author keywords

Integration; Passengers; Recoverability; Rolling stock; Timetable

Indexed keywords

LIGHT RAIL TRANSIT;

DISRUPTION MANAGEMENT; MANAGEMENT PROBLEMS; PASSENGER; PASSENGER DEMANDS; RAIL NETWORKS; RECOVERABILITY; ROLLING STOCK; TIMETABLE; TRANSIT NETWORKS; TWO-STEP APPROACH;

RAPID TRANSIT;

NETWORK ANALYSIS; OPTIMIZATION; RAILWAY TRANSPORT; TRANSPORTATION PLANNING; TRAVEL BEHAVIOR; TRAVEL DEMAND;

EID: 84875268849     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2013.01.013     Document Type: Article

References (21)

1. Ben-Akiva M., Lerman S.R. Discrete Choice Analysis: Theory and Application to Travel Demand 1985, The MIT Press, Cambridge, Massachusetts.
2. Bratu S., Barnhart C. Flight operations recovery: new approaches considering passenger recovery. Journal of Scheduling 2006, 9(3):279-298.
3. Budai G., Maróti G., Dekker R., Huisman D., Kroon L.G. Rescheduling in passenger railways: the rolling stock rebalancing problem. Journal of Scheduling 2010, 13:281-297.
4. Cacchiani V., Caprara A., Galli L., Kroon L.G., Maróti G., Toth P. Railway rolling stock planning: robustness against large disruptions. Transportation Science 2012, 46:217-232.
5. Cadarso L., Marín A. Robust rolling stock in rapid transit networks. Computers & Operations Research 2011, 38(8):1131-1142.
6. Cadarso L., Marín A. Integration of timetable planning and rolling stock in rapid transit networks. Annals of Operations Research 2012, 199(1):113-135.
7. Clausen, J., 2007. Disruption Management in Passenger Transportation - from Air to Tracks. In: Proceedings at ATMOS 2007 - 7th Workshop on Algorithmic Methods and Models for Optimization of Railways, ISBN: 978-3-939897-04-0.
8. de Almeida, D., Trouve, F., Hebben, B., 2003. A Decision Aid Module for Resources Rescheduling when Managing Disturbances. Technical Report, Presented at the World Congress on Railway Research.
9. Dumas J., Soumis F. Passenger flow model for airline networks. Transportation Science 2008, 42(2):197-207.
10. Dumas J., Aithnard F., Soumis F. Improving the objective function of the fleet assignment problem. Transportation Research Part B: Methodological 2009, 43(4):466-475.
11. Filar J., Manyem P., White K. How airlines and airports recover from schedule perturbations: a survey. Annals of Operations Research 2000, 108:315-333.
12. Jarrah A.I.Z., Yu G., Krishnamurthy N., Rakshit A. A decision support framework for airline flight cancellations and delays. Transportation Science 1993, 27(3):266-280.
13. Jespersen-Groth, J., Potthoff, D., Clausen, J., Huisman, D., Kroon, L.G., Maróti, G., Nielsen, M., 2009. Disruption management in passenger railway transportation. In: Ahuja, R., Möhring, R., Zaroliagis, C., (Eds.), Robust and Online Large-Scale Optimization, Lecture Notes in Computer Science, vol. 5868, pp. 399-421.
14. Kroon L.G., Huisman D. Algorithmic support for railway disruption management. Transitions Towards Sustainable Mobility 2011, Springer, Berlin Heidelberg. J.A.E.E. Nunen, P. Huijbregts, P. Rietveld (Eds.).
15. Nielsen, L.K., 2011. Rolling Stock Rescheduling in Passenger Railways. PhD. Thesis. Erasmus Research Institute of Management, Rotterdam School of Management (RSM). ISBN 978-90-5892-267-0.
16. Nielsen L.K., Kroon L.G., Maróti G. A Rolling Horizon Approach for Disruption Management of Railway Rolling Stock. European Journal of Operational Research 2012, 220(2):496-509.
17. Ortúzar J.D. On the development of the of nested logit model. Transportation Research Part B 2001, 35:213-216.
18. Rosenberger J.M., Johnson E.L., Nemhauser G.L. Rerouting aircraft for airline recovery. Transportation Science 2003, 37:408-421.
19. Stojković G., Soumis F., Desrosiers J., Solomon M. An optimization model for a real-time flight scheduling problem. Transportation Research Part A 2002, 36:779-788.
20. Thengvall B., Yu G., Bard J. Balancing user preferences for aircraft schedule recovery during irregular operations. IIE Transactions 1998, 32:181-193.
21. Walker C.G., Snowdon J.N., Ryan D.N. Simultaneous disruption recovery of a train timetable and crew roster in real time. Computers & Operations Research 2005, 32:2077-2094.