Exploratory Trajectory Analysis for Massive Historical AIS Datasets

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

Data exploration is an essential task for gaining an understanding of the potential and limitations of novel datasets. This paper discusses the challenges related to exploring large Automatic Identification System (AIS) datasets. We address these challenges using trajectory-based analysis approaches implemented in distributed computing environments using Spark and GeoMesa. This approach enables the exploration of datasets that are too big to handle within conventional spatial database systems. We demonstrate our approach using a case study of 4 billion AIS records.
Original languageEnglish
Title of host publicationProceedings 21st IEEE International Conference on Mobile Data Management (MDM)
Pages252-257
Number of pages6
DOIs
Publication statusPublished - 2020
Event21st IEEE International Conference on Mobile Data Management (MDM) -
Duration: 30 Jun 2020 → …

Conference

Conference21st IEEE International Conference on Mobile Data Management (MDM)
Period30/06/20 → …

Research Field

  • Former Research Field - Mobility Systems

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