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Article

AIS data visualization for maritime spatial planning (MSP)

Michele Fiorini - Nama Orang; Andrea Capata - Nama Orang; Domenico D. Bloisi - Nama Orang;

The constant increase in marine traffic and the simultaneous growth of the demand for exploiting marine areas (e.g., installing offshore wind power plants) require an adequate planning strategy for managing high traffic volumes. Maritime Spatial Planning (MSP) is the process of public development of an allocation plan for distributing, both spatially and temporally, human activities in marine areas. The adoption of e-Navigation is a possible solution for improving safety and security at sea by integrating maritime information on board and ashore. Automatic Identification System (AIS) data represents a fundamental source of information, since the analysis of AIS data can highlight the presence of congested areas as well as of illegal actions, such as smuggling, pollution, and unauthorized phishing in protected areas. Indeed, those activities are often characterized by abnormal manoeuvres that can be recognized by analyzing the routes of the vessels. However, the huge dimension of the AIS data to process requires the adoption of careful strategies for the data visualization. In this paper, we present a complete pipeline for visualizing ship routes from raw AIS data, which is a fundamental pre-requisite for carrying out a significant AIS-based route analysis, and describe a real case study, where 90 million AIS records, corresponding to one month of world-wide observations, are visualized using only open-source software.


Ketersediaan
#
IPC Corporate University Library ATC MR FIO a C.1
ATC1600503
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
ATC MR FIO a
Penerbit
Italy : Elsevier., 2016
Deskripsi Fisik
16 p.
Bahasa
English
ISBN/ISSN
-
Klasifikasi
MR
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
online resource
Edisi
-
Subjek
e-navigation
AIS data visualization
route analysis
intelligent transport systems
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Michele Fiorini
Versi lain/terkait
JudulEdisiBahasa
Multi-layered hinterland classification of Indian ports of containerized cargoes using GIS visualization and decision tree analysisen
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Tentang Kami

PT Pendidikan Maritim dan Logistik Indonesia (PMLI) berdiri pada 10 Juli 2013, berdasarkan Akta Pendirian No. 26 Tanggal 10 Juli 2013 dan Akta Kementerian Hukum dan Hak Asasi Manusia No. AHU-45955.AH.01.01 tahun 2013.

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