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 proceedingChapterAcademicpeer-review

7 Citations (Scopus)


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 languageEnglish
Title of host publicationLogistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice
EditorsHenk Zijm, Matthias Klumpp, Uwe Clausen, Michael ten Hompel
ISBN (Print)978-3-319-22287-5
Publication statusPublished - 2015

Publication series

NameLecture notes in logistics


  • METIS-313581
  • IR-98421


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