Real time railway traffic management modeling track-circuits

OpenAccess Series in Informatics

Volumn 25, Issue , 2012, Pages 23-34

  Pellegrini, Paola ^a   Marlière, Grégory ^a   Rodriguez, Joaquin ^a  

^a UNIV LILLE   (France)

Author keywords

Complex junction; Mixed integer linear programming; Real time railway traffic management; Track circuit

Indexed keywords

COMPLEX JUNCTION; COMPUTATION TIME; MIXED INTEGER LINEAR PROGRAMMING; RAILWAY TRAFFIC MANAGEMENT; ROUTING AND SCHEDULING; TRACK-CIRCUIT; TRAIN DETECTION; UNEXPECTED EVENTS;

ALGORITHMS; OPTIMIZATION;

LINEAR PROGRAMMING;

EID: 84882965992     PISSN: 21906807     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4230/OASIcs.ATMOS.2012.23     Document Type: Conference Paper

References (18)

1. G. Caimi, F. Chudak, M. Fuchsberger, M. Laumanns, and R. Zenklusen. A new resource-constrained multicommodity flow model for conflict-free train routing and scheduling. Transportation Science, 45(2):212-227, 2011.
2. G. Caimi, M. Fuchsberger, M. Laumanns, and M. Lüthi. A model predictive control approach for descrete-time rescheduling in complex central railway station approach. Computers & Operations Research, 39:2578-2593, 2012.
3. F. Corman, A. D'Ariano, D. Pacciarelli, and M. Pranzo. A tabu search algorithm for rerouting trains during rail operations. Transportation Research Part B, 44:175-192, 2010.
4. A. D'Ariano, F. Corman, D. Pacciarelli, and M. Pranzo. Reordering and local rerouting strategies to manage train traffic in real-time. Transportation Science, 42(4):405-419, 2008.
5. A. D'Ariano, D. Pacciarelli, and M. Pranzo. A branch and bound algorithm for scheduling trains in a railway network. European Journal of Operational Research, 183:643-657, 2007.
6. A. D'Ariano and M. Pranzo. An advanced real-time train dispatching system for minimizing the propagation of delays in a dispatching area under severe disturbances. Networks and Spatial Economics, 9:63-84, 2009.
7. A. D'Ariano, M. Pranzo, and I.A. Hansen. Conflict resolution and train speed coordination for solving real-time timetable perturbations. IEEE Transactions on Intelligent Transportation Systems, 8(2):208-222, 2007.
8. M.M. Dessouky, Q. Lu, J. Zhao, and R.C. Leachman. An exact solution procedure to determine the optimal dispatching times for complex rail networks. IIE Transactions, 38(2):141-152, 2006.
9. IBM Corporation. Ibm ilog cplex optimizer. http://www-01.ibm.com/ software/integration/optimization/cplex-optimizer/, 2012.
10. R.M. Lusby, J. Larsen, M. Ehrgott, and D.M. Ryan. A set packing inspired method for real-time junction train routing. Computers & Operations Research, 2012.
11. M. Mazzarello and E. Ottaviani. A traffic management system for real-time traffic optimisation in railways. Transportation Research Part B, 41:246-274, 2007.
12. J. Pachl. Railway Operation and Control. VTD Rail Publishing, Mountlake Terrace, WA, USA, 2002.
13. J. Pachl. Timetable design principles. In I.A. Hansen and J. Pachl, editors, Railway Timetable & Traffic, chapter 2, pages 9-42. Eurailpress | DVV Rail Media, Hambourg, Germany, 2008.
14. J. Rodriguez. A constraint programming model for real-time train scheduling at junctions. Transportation Research Part B, 41:231-245, 2007.
15. S. Sobieraj, G. Marlière, and J. Rodriguez. Simulation of solutions of a fixed-speed model for the real-time railway traffic optimization problem. In RailRome 2011, 4th International Seminar on Railway Operations Modelling and Analysis, Rome, Italy, 2011.
16. J. Törnquist and J.A. Persson. N-tracked railway traffic re-scheduling during disturbances. Transportation Research Part B, 41:342-362, 2007.
17. J. Törnquist Krasemann. Design of an effective algorithm for fast response to re-scheduling of railway traffic during disturbances. Transportation Research Part C, 20:62-78, 2012.
18. U.I.C. Leaflet 406 "capacity,", 2004.