M. Abril, F. Barber, L. Ingolotti, M. Salido, P. Tormos et al., An assessment of railway capacity, Transportation Research Part E: Logistics and Transportation Review, vol.44, issue.5, pp.774-806, 2008.

A. Stathopoulos and T. Tsekeris, Methodology for processing archived its data for reliability analysis in urban networks, IEE Proceedings-Intelligent Transport Systems, vol.153, pp.105-112, 2006.

N. Markovi?, S. Milinkovi?, K. S. Tikhonov, and P. Schonfeld, Analyzing passenger train arrival delays with support vector regression, Transportation Research Part C: Emerging Technologies, vol.56, pp.251-262, 2015.

J. Peters, B. Emig, M. Jung, and S. Schmidt, Prediction of delays in public transportation using neural networks, Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on, vol.2, pp.92-97, 2005.

S. Pongnumkul, T. Pechprasarn, N. Kunaseth, and K. Chaipah, Improving arrival time prediction of thailand's passenger trains using historical travel times, Computer Science and Software Engineering (JCSSE), pp.307-312, 2014.

P. Kecman and R. M. Goverde, Predictive modelling of running and dwell times in railway traffic, Public Transport, vol.7, issue.3, pp.295-319, 2015.

L. Oneto, E. Fumeo, G. Clerico, R. Canepa, F. Papa et al., Dynamic delay predictions for largescale railway networks: Deep and shallow extreme learning machines tuned via thresholdout, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.47, issue.10, pp.2754-2767, 2017.

F. Cerreto, B. F. Nielsen, O. A. Nielsen, and S. S. Harrod, Application of data clustering to railway delay pattern recognition, Journal of Advanced Transportation, vol.2018, 2018.

C. Palmqvist, N. O. Olsson, L. W. Hiselius, and L. Winslott, Punctuality problems from the perspective of timetable planners in sweden, Proceedings of the 20th EURO Working Group on Transportation Meeting, 2017.

M. Carey and S. Carville, Testing schedule performance and reliability for train stations, Journal of the Operational Research Society, vol.51, issue.6, pp.666-682, 2000.

A. Landex, A. H. Kaas, and O. A. Nielsen, Methods to estimate railway capacity and passenger delays, 2008.

A. Agresti, Foundations of linear and generalized linear models, 2015.

R. M. Goverde, I. Hansen, G. Hooghiemstra, and H. Lopuhaä, Delay distributions in railway stations, Proceedings of the 9th WCTR, 2001.

J. Yuan, Stochastic modelling of train delays and delay propagation in stations, 2006.

Y. Min and A. Agresti, Modeling nonnegative data with clumping at zero: a survey, Journal of the Iranian Statistical Society, vol.1, issue.1, pp.7-33, 2002.

R. and B. Nam, Evaluation of the performance of survival analysis models: discrimination and calibration measures, Handbook of statistics, vol.23, pp.1-25, 2003.

D. W. Hosmer, S. Lemeshow, and R. X. Sturdivant, Applied logistic regression, vol.398, 2013.

D. W. Hosmer and S. Lemesbow, Goodness of fit tests for the multiple logistic regression model, Communications in statistics-Theory and Methods, vol.9, issue.10, pp.1043-1069, 1980.

D. M. Stasinopoulos and R. A. Rigby, Generalized additive models for location scale and shape (gamlss) in r, Journal of Statistical Software, vol.23, issue.7, pp.1-46, 2007.

D. Stasinopoulos, R. Rigby, and C. Akantziliotou, Accompanying documentation in the current GAMLSS help files, 2006.

P. Paul, M. L. Pennell, and S. Lemeshow, Standardizing the power of the hosmer-lemeshow goodness of fit test in large data sets, Statistics in medicine, vol.32, issue.1, pp.67-80, 2013.

D. W. Hosmer, S. Lemeshow, and J. Klar, Goodness-of-fit testing for the logistic regression model when the estimated probabilities are small, Biometrical Journal, vol.30, issue.8, pp.911-924, 1988.