A simulation-based optimization approach for the calibration of dynamic train speed profiles

Journal of Rail Transport Planning and Management

Volumn 3, Issue 4, 2013, Pages 126-136

  Bešinović, Nikola ^a   Quaglietta, Egidio ^a   Goverde, Rob M P ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Calibration; Running time models; Simulation based optimization; Speed profile estimation; Train dynamics

Indexed keywords

CALIBRATION; COMPUTATIONAL EFFICIENCY; PROBABILITY DISTRIBUTIONS; RAILROAD TRANSPORTATION; RAILROADS; ROLLING RESISTANCE;

COMPUTATION ACCURACY; REAL-TIME APPLICATION; RESISTANCE PARAMETERS; RUNNING TIME; SIMULATION STUDIES; SIMULATION-BASED OPTIMIZATIONS; SPEED PROFILE; TRAIN DYNAMICS;

OPTIMIZATION;

EID: 84901004571     PISSN: 22109706     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jrtpm.2013.10.008     Document Type: Article

References (16)

1. Albrecht T., Goverde R.M.P., Weeda V.A., van Luipen J. Reconstruction of train trajectories from track occupation data to determine the effects of a driver information system. Computers in Railways X, WIT Transactions on the Built Environment 2006, 88:207-216. WIT Press, Southampton.
2. Albrecht T., Gassel C., Binder A., van Luipen J. 2010. Dealing with operational constraints in energy efficient driving. In: Proceedings of the 4th IET International Conference on Railway Traction Systems (RTS 2010), Birmingham.
3. Albrecht T., Gassel C., Knijff J., van Luipen, J. (2010). Analysis of energy consumption and traffic flow by means of track occupation data. In: Proceedings of the 4th IET International Conference on Railway Traction Systems (RTS 2010), Birmingham.
4. Butcher J.C. Numerical Methods for Ordinary Differential Equations 2003, Wiley, London.
5. Daamen W., Goverde R.M.P., Hansen I.A. Non-discriminatory automatic registration of knock-on train delays. Networks Spatial Econ. 2009, 9(1):47-61.
6. Goverde R.M.P., Meng L. Advanced monitoring and management information of railway operations. J. Rail Transp. Plann. Manage. 2011, 1(2):69-79.
7. Hansen I.A., Pachl J. Railway Timetable and Traffic 2008, Eurailpress, Hamburg.
8. Hertel G., Steckel J. Fahrzeitberechnung unter stochastischem Aspekt. Eisenbahningenieur 1992, 43(5):304-306.
9. Johnson N.L. Systems of frequency curves generated by methods of translation. Biometrika 1949, 36:149-176.
10. Kecman P., Goverde R.M.P. Process mining of train describer event data and automatic conflict identification. Computers in Railways XIII, WIT Transactions on the Built Environment 2012, 127:227-238. WIT Press, Southampton.
11. Kecman, P., Goverde, R.M.P., 2013. Process mining approach for recovery of realized train paths and route conflict identification. In: The 92nd Annual Meeting of Transportation Research Board, Washington, DC.
12. Lukaszevicz, P., 2001. Energy Consumption and Running Time for Trains. (Ph.D. thesis). Royal Institute of Technology, Stockholm.
13. Medeossi G., Longo G., de Fabris S. A method for using stochastic blocking times to improve timetable planning. J. Rail Transp. Plann. Manage. 2011, 1(1):1-13.
14. Mitchell M. An Introduction to Genetic Algorithms 1996, MIT Press, Cambridge, MA.
15. ProRail, 2008. TROTS protocol - interface design description, Utrecht, 2008 (in Dutch).
16. Radosavljevic A. Measurement of train traction characteristics. Proceedings of the institution of mechanical engineers, part F. J. Rail Rapid Transit 2006, 220(3):283-291.