Print Email Facebook Twitter Railway disruption management Title Railway disruption management Author Blenkers, L.L. Contributor Van den Boom, T.J.J. (mentor) Faculty Mechanical, Maritime and Materials Engineering Department DCSC Date 2015-12-14 Abstract Railway networks are susceptible to disturbances and disruptions caused by failures in the infrastructure and rolling stock which lead to delays and inconvenience for passengers. Disruption management is currently performed manually by dispatchers and can be improved by using dispatching support systems that can calculate optimal solutions using a model and information on the current condition of the network. In this thesis, an existing macroscopic constraint model for railway networks is extended to include the properties of a disruption. It is found that a disruption can be modelled in a constraint framework by an assignment problem that allocates arriving trains to planned departures. The assignment constraint model is further extended to include rolling stock actions that can be performed at stations to manage the disruption. The constraint model is applied in a mixed integer linear programming problem (MILP) that describes the rescheduling of railway traffic during a disruption. The objective of the MILP aims at minimizing the sum of delays and the number of cancelled trains in the network. A Matlab program is written to simulate disruption scenarios for a case study considering a full blockade at a track section in the south-west of the Dutch railway network. New feasible timetables for a horizon of two hours considering all trains in the network could be found within a minute. A model predictive control (MPC) scheme was developed and implemented in Matlab that can calculate and apply control actions on-line taking into account new delay information from the network. The resulting model predictive controller was used in the simulation of delay scenarios in combination with the disruption from the case study. Solutions for every instance could be found within half a minute, thereby proving the potential of a MPC approach for the management of railway networks during disturbances and disruptions. Subject railway reschedulingmixed integer programmingdisruptionmodel predictive control To reference this document use: http://resolver.tudelft.nl/uuid:37d16ba2-ced7-47c0-9155-2eb257cee0eb Part of collection Student theses Document type master thesis Rights (c) 2015 Blenkers, L.L. Files PDF mscThesis-LexBlenkers.pdf 1.52 MB Close viewer /islandora/object/uuid:37d16ba2-ced7-47c0-9155-2eb257cee0eb/datastream/OBJ/view