Drafting Route Plan Templates for Ships on the Basis of AIS Historical Data

Abstract

The paper provides a description of a method of drafting route plan templates on the basis of AIS (automatic identification system) historical data. The first section features a brief background on the problem of drafting route plan templates in the light of international regulations. The main section contains a description of the methods and tools used for processing AIS data into a GRID reference system: ship traffic intensity, average COG (course over ground) and average SOG (speed over ground) as well as route plan templates. The final section includes a presentation of the research method and an analysis of the results, conducted on the basis of maps with charted paths of drafted route plan templates. The summary constitutes a synthesis of general conclusions, the advantages and disadvantages of the solution as well as areas for further research to enhance the solution.

Clustering of Marine Vessel Trajectory Data for Routes Planning through Water Areas with Heavy Traffic

“…In this work, the number of dangerous approaches of vessels of various classes in certain areas of the water area is estimated on the basis of the classical model of the ship's domain and the most difficult areas for movement are identified. Studies [5], [6], [7] are devoted to the same problem. The paper [4] proposes an approach for assessing the traffic intensity in the water areas as a function of the density of ships.…”

“…They explore options for clustering objects, their attributes, metrics, and clustering methods. Thus, the paper [7] considers the problem of estimating typical ship routes in the water area according to AIS data. The method is based on the division of the water area into small sections, the assessment of the traffic density in them, the preferred transitions of ships between them, i.e.…”

Планирование Маршрутов Судов На Основе Кластеризации Ретроспективных Данных Трафика Акватории

“…Они исследуют варианты объектов кластеризации, их признаков, метрик и методов. Так, в работе [23] рассматривается задача оценки типичных маршрутов судов на акватории по данным АИС. Метод основан на разбиении акватории на небольшие участки, оценке в них плотности движения, предпочтительных переходов судов между ними, т.е.…”

A Novel High-Dimensional Trajectories Construction Network based on Multi-Clustering Algorithm

“…In other words, traditional route planning relies on experience and judgment, which brings a high rate of error. According to the Naus 2020 study [1], over 70% of ship collisions are related to the highly subjective judgmental operation of mariners. With the development of computational power and the increasing of the internet of things (IOT), the use of data analysis along with practical path planning has become possible.…”