Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times

Alexander Dobrkovic; Maria Eugenia Iacob; Jos van Hillegersberg; Martijn R.K. Mes; Maurice Glandrup

doi:10.1007/978-3-319-22288-2_16

Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times

Alexander Dobrkovic
, Maria Eugenia Iacob
, Jos van Hillegersberg
, Martijn R.K. Mes
, Maurice Glandrup

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

7 Citations (Scopus)

Abstract

The goal of this paper is to conduct a review of existing solutions and related algorithms on maritime route prediction using Automatic Information System (AIS) data, determine to what extent they can be applied to solve the prediction problem, and identify areas that have to be improved in order to get an industry-acceptable solution to enhance various logistics planning processes. The contributions of this paper are: (i) to present the available solutions for trajectory prediction of a vessel; (ii) to identify components that can be used for finding a solution for the identified problem as well as showing the strengths and weaknesses of each available option; and (iii) to propose a new concept for arrival time estimation based on trajectory prediction and the use of algorithms from the included literature review.

Original language	English
Title of host publication	Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice
Editors	Henk Zijm, Matthias Klumpp, Uwe Clausen, Michael ten Hompel
Publisher	Springer
Pages	281-294
ISBN (Print)	978-3-319-22287-5
DOIs	https://doi.org/10.1007/978-3-319-22288-2_16
Publication status	Published - 2015

Publication series

Name	Lecture notes in logistics
Publisher	Springer

Keywords

METIS-313581
IR-98421

Access to Document

10.1007/978-3-319-22288-2_16

Cite this

Dobrkovic, A., Iacob, M. E., van Hillegersberg, J., Mes, M. R. K., & Glandrup, M. (2015). Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times. In H. Zijm, M. Klumpp, U. Clausen, & M. ten Hompel (Eds.), Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice (pp. 281-294). (Lecture notes in logistics). Springer. https://doi.org/10.1007/978-3-319-22288-2_16

Dobrkovic, Alexander ; Iacob, Maria Eugenia ; van Hillegersberg, Jos et al. / Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times. Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice. editor / Henk Zijm ; Matthias Klumpp ; Uwe Clausen ; Michael ten Hompel. Springer, 2015. pp. 281-294 (Lecture notes in logistics).

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abstract = "The goal of this paper is to conduct a review of existing solutions and related algorithms on maritime route prediction using Automatic Information System (AIS) data, determine to what extent they can be applied to solve the prediction problem, and identify areas that have to be improved in order to get an industry-acceptable solution to enhance various logistics planning processes. The contributions of this paper are: (i) to present the available solutions for trajectory prediction of a vessel; (ii) to identify components that can be used for finding a solution for the identified problem as well as showing the strengths and weaknesses of each available option; and (iii) to propose a new concept for arrival time estimation based on trajectory prediction and the use of algorithms from the included literature review.",

keywords = "METIS-313581, IR-98421",

author = "Alexander Dobrkovic and Iacob, \{Maria Eugenia\} and \{van Hillegersberg\}, Jos and Mes, \{Martijn R.K.\} and Maurice Glandrup",

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publisher = "Springer",

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booktitle = "Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice",

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}

Dobrkovic, A, Iacob, ME, van Hillegersberg, J , Mes, MRK & Glandrup, M 2015, Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times. in H Zijm, M Klumpp, U Clausen & M ten Hompel (eds), Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice. Lecture notes in logistics, Springer, pp. 281-294. https://doi.org/10.1007/978-3-319-22288-2_16

Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times. / Dobrkovic, Alexander; Iacob, Maria Eugenia; van Hillegersberg, Jos et al.
Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice. ed. / Henk Zijm; Matthias Klumpp; Uwe Clausen; Michael ten Hompel. Springer, 2015. p. 281-294 (Lecture notes in logistics).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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T1 - Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times

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AU - Glandrup, Maurice

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AB - The goal of this paper is to conduct a review of existing solutions and related algorithms on maritime route prediction using Automatic Information System (AIS) data, determine to what extent they can be applied to solve the prediction problem, and identify areas that have to be improved in order to get an industry-acceptable solution to enhance various logistics planning processes. The contributions of this paper are: (i) to present the available solutions for trajectory prediction of a vessel; (ii) to identify components that can be used for finding a solution for the identified problem as well as showing the strengths and weaknesses of each available option; and (iii) to propose a new concept for arrival time estimation based on trajectory prediction and the use of algorithms from the included literature review.

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Dobrkovic A, Iacob ME, van Hillegersberg J , Mes MRK, Glandrup M. Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times. In Zijm H, Klumpp M, Clausen U, ten Hompel M, editors, Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice. Springer. 2015. p. 281-294. (Lecture notes in logistics). doi: 10.1007/978-3-319-22288-2_16

Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times

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