Navigators’ Behavior Analysis Using Data Mining

One of the ways to prevent accidents at sea is to detect risks caused by humans and to counteract them. These tasks can be executed through an analysis of ship maneuvers and the identification of behavior considered to be potentially dangerous, e.g., based on data obtained online from the automatic...

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Main Authors: Zbigniew Pietrzykowski, Miroslaw Wielgosz, Marcin Breitsprecher
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/8/1/50
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author Zbigniew Pietrzykowski
Miroslaw Wielgosz
Marcin Breitsprecher
author_facet Zbigniew Pietrzykowski
Miroslaw Wielgosz
Marcin Breitsprecher
author_sort Zbigniew Pietrzykowski
collection DOAJ
description One of the ways to prevent accidents at sea is to detect risks caused by humans and to counteract them. These tasks can be executed through an analysis of ship maneuvers and the identification of behavior considered to be potentially dangerous, e.g., based on data obtained online from the automatic identification system (AIS). As a result, additional measures or actions can be taken, e.g., passing at a distance greater than previously planned. The detection of risks at sea requires a prior definition of behavior patterns and the criteria assigned to them. Each pattern represents a specific navigator’s safety profile. The criteria assigned to each pattern for the identification of the navigator’s safety profile were determined from previously recorded AIS data. Due to a large amount of data and their complex relationships, these authors have proposed to use data mining tools. This work continues previous research on this subject. The conducted analysis covered data recorded in simulation tests done by navigators. Typical ship encounter situations were included. Based on additional simulation data, the patterns of behavior were verified for the determination of a navigator’s safety profile. An example of using the presented method is given.
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spelling doaj.art-b4d499550da34909857ad91e73b21da82022-12-21T19:38:33ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-01-01815010.3390/jmse8010050jmse8010050Navigators’ Behavior Analysis Using Data MiningZbigniew Pietrzykowski0Miroslaw Wielgosz1Marcin Breitsprecher2Faculty of Computer Science and Telecommunication, Maritime University of Szczecin, 70-500 Szczecin, PolandFaculty of Navigation, Maritime University of Szczecin, 70-500 Szczecin, PolandFaculty of Computer Science and Telecommunication, Maritime University of Szczecin, 70-500 Szczecin, PolandOne of the ways to prevent accidents at sea is to detect risks caused by humans and to counteract them. These tasks can be executed through an analysis of ship maneuvers and the identification of behavior considered to be potentially dangerous, e.g., based on data obtained online from the automatic identification system (AIS). As a result, additional measures or actions can be taken, e.g., passing at a distance greater than previously planned. The detection of risks at sea requires a prior definition of behavior patterns and the criteria assigned to them. Each pattern represents a specific navigator’s safety profile. The criteria assigned to each pattern for the identification of the navigator’s safety profile were determined from previously recorded AIS data. Due to a large amount of data and their complex relationships, these authors have proposed to use data mining tools. This work continues previous research on this subject. The conducted analysis covered data recorded in simulation tests done by navigators. Typical ship encounter situations were included. Based on additional simulation data, the patterns of behavior were verified for the determination of a navigator’s safety profile. An example of using the presented method is given.https://www.mdpi.com/2077-1312/8/1/50behavior patternssea navigationsafety profiledata mining
spellingShingle Zbigniew Pietrzykowski
Miroslaw Wielgosz
Marcin Breitsprecher
Navigators’ Behavior Analysis Using Data Mining
Journal of Marine Science and Engineering
behavior patterns
sea navigation
safety profile
data mining
title Navigators’ Behavior Analysis Using Data Mining
title_full Navigators’ Behavior Analysis Using Data Mining
title_fullStr Navigators’ Behavior Analysis Using Data Mining
title_full_unstemmed Navigators’ Behavior Analysis Using Data Mining
title_short Navigators’ Behavior Analysis Using Data Mining
title_sort navigators behavior analysis using data mining
topic behavior patterns
sea navigation
safety profile
data mining
url https://www.mdpi.com/2077-1312/8/1/50
work_keys_str_mv AT zbigniewpietrzykowski navigatorsbehavioranalysisusingdatamining
AT miroslawwielgosz navigatorsbehavioranalysisusingdatamining
AT marcinbreitsprecher navigatorsbehavioranalysisusingdatamining