Print Email Facebook Twitter Models for Predictive Railway Traffic Management Title Models for Predictive Railway Traffic Management Author Kecman, P. Contributor Hansen, I.A. (promotor) Faculty Civil Engineering and Geosciences Department Transport & Planning Date 2014-10-20 Abstract 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. Subject railway trafficdata miningpredictive modellingpredictionrescheduling To reference this document use: https://doi.org/10.4233/uuid:539e96b3-18d7-4f6f-b662-ce22ae269f2a Publisher TRAIL ISBN 9789055841752 Part of collection Institutional Repository Document type doctoral thesis Rights (c) 2014 Kecman, P. CC-BY-NC 3.0 Files PDF thesis kecman.pdf 12.34 MB Close viewer /islandora/object/uuid:539e96b3-18d7-4f6f-b662-ce22ae269f2a/datastream/OBJ/view