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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorDastani, M.M.
dc.contributor.authorBerg, A. van den
dc.date.accessioned2018-03-20T18:00:59Z
dc.date.available2018-03-20T18:00:59Z
dc.date.issued2018
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/28845
dc.description.abstractOngoing growth of the Dutch railway passenger and cargo transporting system demands that the current infrastructure is utilised at utmost efficiency. Next to creating a train schedule well in advance, traffic operators regularly have to schedule new trains in a current, dynamic planning. When the request to create a path for the new train is sent by the transporter company, it is handled by the different parties responsible for the execution of the train schedule. A top-down approach is taken where the operator with the most global view of the network first creates a draft of the train. After that he notifies those operators that have a smaller but more detailed view on the infrastructure, all the way down to the level of switches, signals and sections. This already modular process was subsequently built using a multi-agent system, closely mimicking the roles and responsibilities seen in practice. The system was built in PRL-Game, a mockup of the operator systems used in reality, to ensure a timely realisation and provide a safe playground for the agents. Experimentation to validate the agent system was done on a minimal scale, although preliminary results were exciting and inspiring.
dc.description.sponsorshipUtrecht University
dc.format.extent779217
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleA Multiagent Approach to Automating Railway Capacity Request Approval
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsagents, multi-agent, multi-agent systems, multi-agent modelling, multi-agent modeling, ProRail, railway, trains, planning, logistics, automation, scheduling
dc.subject.courseuuArtificial Intelligence


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