PhD Pavle Kecman

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On December 16, 2014 Pavle successfully defended his thesis.

Congratulations, Pavle!

Models for Predictive Railway Traffic Management


The potential growth in transport demand in the next decade and beyond requires a change from reactive to proactive traffic control to maintain and improve the reliability of railway traffic. In order to enable an anticipative approach to traffic management, it is necessary to develop the tools for monitoring, prediction and optimisation of the traffic operations. This thesis presents the models that can be used as components for a decision support system for predictive traffic management.

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