Abstract
Mainline railways in Europe are experiencing increasing use as the worldwide demand for passenger and freight transport is growing across all transport modes. At the same time, much of the existing railway network is reaching its capacity and has become susceptible to disturbances. This thesis creates, optimizes, and evaluates railway timetables to promote more reliable, attractive and sustainable railway transport systems. In essence, we demonstrate that optimization, simulation and data analysis can be successfully applied to improving railway traffic planning and account for better infrastructure capacity use and increased level of service for passengers and freight operators.
Original language | English |
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Qualification | Doctor of Philosophy |
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Award date | 4 Jul 2017 |
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Print ISBNs | 978-90-5584-226-1 |
DOIs | |
Publication status | Published - 2017 |
Bibliographical note
TRAIL Thesis Series no. T2017/9, the Netherlands TRAIL Research SchoolFingerprint
Dive into the research topics of 'Integrated capacity assessment and timetabling models for dense railway networks'. Together they form a unique fingerprint.Prizes
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2018 Best IEEE ITS Dissertation Award
Besinovic, N. (Recipient), 2018
Prize: Prize (including medals and awards)