A Framework for Monitoring and Predicting Mooring Occupancy Using Automatic Identification System Data and Markov Chain Models

Visser, S.; Valk, M.; Dijkstra, E.; Blom, B.; Spieings, S.; Mandeli, C.; Zuidema, Joost; van der Mei, Rob; Dugundji, Elenna

S. Visser, M. Valk, E. Dijkstra, B. Blom, S. Spieings, C. Mandeli, J. Zuidema (Joost), R.D. van der Mei (Rob) and E.R. Dugundji (Elenna)

2018

A Framework for Monitoring and Predicting Mooring Occupancy Using Automatic Identification System Data and Markov Chain Models

Proceedings of 97th Annual Meeting of the Transportation Research Board (TRB)

Presented at the 97th Annual Meeting of the Transportation Research Board (TRB), Washington, DC, USA, January 2018 (January 2018), Washington, DC, USA

Additional Metadata
Journal	Proceedings of 97th Annual Meeting of the Transportation Research Board (TRB)
Conference	97th Annual Meeting of the Transportation Research Board (TRB), Washington, DC, USA, January 2018
Organisation	Stochastics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Visser, S, Valk, M, Dijkstra, E, Blom, B, Spieings, S, Mandeli, C, … Dugundji, E.R. (2018). A Framework for Monitoring and Predicting Mooring Occupancy Using Automatic Identification System Data and Markov Chain Models. In Proceedings of 97th Annual Meeting of the Transportation Research Board (TRB).

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