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Pavle Kecman
Pavle Kecman
Principal Data Scientist, NXP Semiconductors
Verified email at nxp.com
Title
Cited by
Cited by
Year
Stochastic prediction of train delays in real-time using Bayesian networks
F Corman, P Kecman
Transportation Research Part C: Emerging Technologies 95, 599-615, 2018
1582018
Predictive modelling of running and dwell times in railway traffic
P Kecman, RMP Goverde
Public Transport 7, 295-319, 2015
1452015
Online data-driven adaptive prediction of train event times
P Kecman, RMP Goverde
IEEE Transactions on Intelligent Transportation Systems 16 (1), 465-474, 2014
1212014
Rescheduling models for railway traffic management in large-scale networks
P Kecman, F Corman, A D’Ariano, RMP Goverde
Public Transport 5 (1-2), 95-123, 2013
1102013
Optimal allocation of buffer times to increase train schedule robustness
P Jovanović, P Kecman, N Bojović, D Mandić
European Journal of Operational Research 256 (1), 44-54, 2017
842017
Process mining of train describer event data and automatic conflict identification
P Kecman, RMP Goverde
Computers in Railways XIII: Computer System Design and Operation in the …, 2013
50*2013
Train delay evolution as a stochastic process
P Kecman, F Corman, L Meng
6th International Conference on Railway Operations Modelling and Analysis …, 2015
482015
An online railway traffic prediction model
P Kecman, RMP Goverde
RailCopenhagen2013: 5th International Conference on Railway Operations …, 2013
262013
Models for predictive railway traffic management
P Kecman
TRAIL, 2014
252014
Stochastic prediction of train delays in real-time using Bayesian networks
P Kecman, F Corman, A Peterson, M Joborn
Conference on Advanced Systems in Public Transport (CASPT 2015), 2015
152015
Rescheduling models for network-wide railway traffic management
P Kecman, F Corman, A D'Ariano, RMP Goverde
Conference on Advanced Systems for Public Transport, CASPT12, Santiago …, 2012
112012
A model-predictive control framework for railway traffic management
P Kecman, RMP Goverde, AJJ van den Boom
Railrome 2011, Rome, 1-15, 2011
112011
Models for predictive railway traffic management (PhD Thesis)
P Kecman
TU Delft, 2014
82014
Predictive modelling of running and dwell times in railway traffic. Public Transp 7 (3): 295–319
P Kecman, RMP Goverde
72015
Modeling delay relations based on historical train monitoring data: A Chinese high-speed railway case
J Guo, L Meng, P Kecman, F Corman
6th International Conference on Railway Operations Modelling and Analysis …, 2015
52015
Evaluating and ranking infrastructure manager strategies using the combined AHP/DEA method
P Kecman, P Jovanović, M Bugarinovic
Univerzita Pardubice, 2010
52010
Modeling delay relations based on mining historical train monitoring data: a Chinese railway case
J Guo, L Meng, P Kecman, F Corman
Proc. 6th Int. Conf. Railway Oper. Modelling Anal.(RailTokyo), 1-28, 2015
32015
Stochastic prediction of train delays with dynamic Bayesian networks
P Kecman, F Corman, A Peterson, M Joborn
Proceedings of CASPT 2015, Rotterdam, The Netherlands, 2015
22015
Train delay prediction
P Kecman, RMP Goverde
Railway timetabling and operations: analysis, modelling, optimisation …, 2014
22014
Train describer records as a source of information for infrastructure monitoring, performance analysis and traffic management
P Kecman, RMP Goverde, IA Hansen
5th IET Conference on Railway Condition Monitoring and Non-Destructive …, 2011
12011
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