dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Dastani, M.M. | |
dc.contributor.author | Berg, A. van den | |
dc.date.accessioned | 2018-03-20T18:00:59Z | |
dc.date.available | 2018-03-20T18:00:59Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/28845 | |
dc.description.abstract | Ongoing 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.sponsorship | Utrecht University | |
dc.format.extent | 779217 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | A Multiagent Approach to Automating Railway Capacity Request Approval | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | agents, multi-agent, multi-agent systems, multi-agent modelling, multi-agent modeling, ProRail, railway, trains, planning, logistics, automation, scheduling | |
dc.subject.courseuu | Artificial Intelligence | |