Abstract
This is a summary of the author’s PhD thesis supervised by Ingo A. Hansen and defended on 7 April 2008 at the Delft University of Technology. The thesis is written in English and is available from http://www.darenet.nl. This work deals with the development of an innovative decision support system for railway traffic control in order to cope with real-time timetable disturbances (i.e., multiple train delays and blocked tracks) more effectively. This dynamic traffic control system co-ordinates the speed of successive trains on open track (re-timing), solves expected route conflicts (re-ordering) and provides dynamic use of platform tracks in a station or alternative paths in a corridor between stations (local re-routing). We adopt blocking time theory for a microscopic modeling track occupation and signaling constraints and alternative graphs for optimal solving dynamic traffic control problems with the aim of increasing the punctuality by a more intelligent use of infrastructure capacity at a network scale.
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D’Ariano, A. Improving real-time train dispatching performance: optimization models and algorithms for re-timing, re-ordering and local re-routing. 4OR-Q J Oper Res 8, 429–432 (2010). https://doi.org/10.1007/s10288-010-0131-y
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DOI: https://doi.org/10.1007/s10288-010-0131-y
Keywords
- Real-time railway traffic management
- Decision support system
- Alternative graph
- Train speed coordination
- Scheduling
- Routing
- Branch and bound
- Tabu search
- Decomposition procedures