Планирование маршрутов судов по ретроспективным данным о движении на основе модельных представлений вычислительной геометрии
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Vessel route planning based on historical traffic data and model representations of computational geometry

idGrinyak V.M., Prudnikova L.I.,  Artemiev A.V.,  Levchenko D.M. 

UDC 004.8
DOI: 10.26102/2310-6018/2023.41.2.015

  • Abstract
  • List of references
  • About authors

The paper is concerned with maritime safety. The problem of planning a route for a vessel crossing water areas with heavy traffic is considered. When sailing under such conditions, navigators follow a trajectory that is established in a specific water area. It can be defined officially or be accepted on an informal basis while representing collective navigation experience. If the latter, it seems productive to plan a route using the data on the traffic of other ships that crossed the water area earlier (the same idea underlies "big data" task methods). In the papers published earlier, such route planning was based on a cluster analysis of retrospective data on ship traffic, which involved dividing the water area into sections and highlighting characteristic values of speeds and courses in them. The problem with this approach was the choice of partitioning parameters which had to be set for each specific water area separately. In this paper, another approach is proposed, when the graph of possible routes includes a selection of the trajectories of individual ships that were previously implemented in the specific water area. This article further develops the methods for solving the problem of ship route planning in areas with heavy traffic. The proposed method is based on the formation of a possible route graph from a set of intersecting broken lines, each of which represents a route implemented earlier. Each edge of the graph is assigned a measure of its “popularity”, which characterizes the proximity of other edges to it. The shortest path on a weighted graph is constructed considering not only the geometric length of the edges, but also the measure of their “popularity”. The paper regards the formation of a possible route graph, a number of its nodes and edges is esteemed, recommendations as to how to select a method for defining the shortest path on its graph are provided. Examples of route planning for the Tsugaru Strait and the Seaport of Vladivostok are provided.

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Grinyak Victor Mikhailovich
Doctor of Technical Sciences, Associate Professor
Email: victor.grinyak@gmail.com

Scopus | ORCID | eLibrary |

Vladivostok State University

Vladivostok, The Russian Federation

Prudnikova Larisa Ivanovna
Candidate of Mathematical Sciences, Associate Professor
Email: prudnikova.li@dvfu.ru

Far Eastern Federal University

Vladivostok, The Russian Federation

Artemiev Andrey Vladimirovich
Candidate of Technical Sciences, Associate Professor
Email: artemyev@msun.ru

Maritime State University named after admiral G.I. Nevelskoy

Vladivostok, The Russian Federation

Levchenko Dmitry Maksimovich

Email: kadiabasta@gmail.com

Institute of Automation and Control Processes FEBRAS

Vladivostok, The Russian Federation

Keywords: ship traffic management, unmanned navigation, e-navigation, route transit planning, high-density traffic, automatic identification system, big Data, graph algorithm

For citation: Grinyak V.M., Prudnikova L.I., Artemiev A.V., Levchenko D.M. Vessel route planning based on historical traffic data and model representations of computational geometry. Modeling, Optimization and Information Technology. 2023;11(2). URL: https://moitvivt.ru/ru/journal/pdf?id=1331 DOI: 10.26102/2310-6018/2023.41.2.015 (In Russ).

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Full text in PDF

Received 07.04.2023

Revised 07.05.2023

Accepted 01.06.2023

Published 30.06.2023