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Maritime vessel traffic modeling in the context of concept drift
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
2017 (engelsk)Inngår i: Transportation Research Procedia, Elsevier, 2017, Vol. 25, s. 1457-1476Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Maritime traffic modeling serves the purpose of extracting human-readable information and discovering knowledge in the otherwise illegible mass of traffic data. The goal of this study is to examine the presence and character of fluctuations in maritime traffic patterns. The main objective is to identify such fluctuations and capture them in terms of a concept drift, i.e., unforeseen shifts in statistical properties of the modeled target occurring over time. The empirical study is based on a collection of AIS vessel tracking data, spanning over a year. The scope of the study limits the AIS data area to the Baltic region (9-31°E, 53-66°N), which experiences some of the most dense maritime traffic in the world. The investigations employ a novel maritime traffic modeling method based on the potential fields concept, adapted for this study to facilitate the examination of concept drift. The concept drift is made apparent in course of the statistical and visual analysis of the experimental results. This study shows a number of particular cases, in which the maritime traffic is affected by concept drifts of varying extent and character. The visual representations of the traffic models make shifts in the traffic patterns apparent and comprehensible to human eye. Based on the experimental outcomes, the robustness of the modeling method against concept drift in traffic is discussed and improvements are proposed. The outcomes provide insights into regularly reoccurring drifts and irregularities within the traffic data itself that may serve to further optimize the modeling method, and - in turn - the performance of detection based on it. © 2017 The Authors. Published by Elsevier B. V.

sted, utgiver, år, opplag, sider
Elsevier, 2017. Vol. 25, s. 1457-1476
Serie
Transportation Research Procedia
Emneord [en]
anomaly detection, concept drift, maritime traffic, traffic modeling
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-14677DOI: 10.1016/j.trpro.2017.05.173OAI: oai:DiVA.org:bth-14677DiVA, id: diva2:1113923
Konferanse
World Conference on Transport Research - WCTR 2016, Shanghai
Tilgjengelig fra: 2017-06-22 Laget: 2017-06-22 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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