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

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

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Conference	97th Annual Meeting of the Transportation Research Board (TRB), Washington, DC, USA, January 2018
Organisation	Stochastics
Citation APA APA Style APA-ALL Style AAA 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., Zuidema, J., van der Mei, R.& Dugundji, E. (2018, January). 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).

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