Print Email Facebook Twitter Analysing terminal performances using AIS data Title Analysing terminal performances using AIS data: AIS tool development and data analysis to assess & compare observed nautical port processes with theoretical frameworks Author van Zwieteren, Gabrielle (TU Delft Civil Engineering & Geosciences) Contributor van Koningsveld, M. (mentor) van Gelder, P.H.A.J.M. (graduation committee) Lansen, A.J. (graduation committee) Baart, Fedor (graduation committee) Klaver, S. (graduation committee) Degree granting institution Delft University of Technology Programme Civil Engineering | Hydraulic Engineering Date 2020-10-15 Abstract In order to increase safety and efficiency at sea the International Maritime Organization decided in 2000 that all sea going vessels were to implement Automatic Identification Systems (AIS). AIS is an automatic tracking system which broadcasts static and dynamic information about the vessel. Even though AIS was not initially designed for research purposes, large amounts of AIS data are available from which valuable insights can be gained. In this research an AIS Port processes tool is developed, which transforms (raw) AIS data into data containing information about the entry and exit times of certain port locations. With this tool and based on data analysis of multiple terminals, the inter arrival time distribution, the service time distribution and the berth occupancy can be obtained, these are key parameters for using Queuing Theory in terminal design. Following, these parameters and distributions can be compared to what current nautical infrastructure guidelines advise and expect. Insights gained from these AIS data analyses lead to innovative ideas and recommendations for current theoretical frameworks used in port planning. Subject AIS dataQueuing TheoryTerminal performanceAIS toolService time distributionInter arrival time distributionBerth occupancy To reference this document use: http://resolver.tudelft.nl/uuid:e2f61c02-87c5-4753-b465-2e023300f727 Part of collection Student theses Document type master thesis Rights © 2020 Gabrielle van Zwieteren Files PDF MScThesis_G.A.vanZwietere ... ersion.pdf 15.29 MB Close viewer /islandora/object/uuid:e2f61c02-87c5-4753-b465-2e023300f727/datastream/OBJ/view