Analysis of the maritime traffic in the central part of the Adriatic

Lušić, Zvonimir; Pušić, Danijel; Medić, Dario

doi:10.1201/9781315281896-131

Cited by 5 publications

(4 citation statements)

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“…Initially, an overview of two papers related to the research area is given, in which AIS data are used to analyse maritime traffic. Lušić et al [14] described the area of the central Adriatic Sea, which includes the maritime region of Split. Maritime traffic in this area is analysed for the period 2014 and 2015.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Ship Collision Probability Model Based on Monte Carlo Simulation and Bi-LSTM

Vukša

Vidan

Bukljaš

et al. 2022

JMSE

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The efficiency and safety of maritime traffic in a given area can be measured by analyzing traffic density and ship collision probability. Maritime traffic density is the number of ships passing through a given area in a given period of time. It can be measured using vessel tracking systems, such as the Automatic Identification System (AIS). The information provided by AIS is real-time data designed to improve maritime safety. However, the AIS data can also be used for scientific research purposes to improve maritime safety by developing predictive models for collisions in a research area. This article proposes a ship collision probability estimation model based on Monte Carlo simulation (MC) and bidirectional long short-term memory neural network (Bi-LSTM) for the maritime region of Split. The proposed model includes the processing of AIS data, the verification of AIS data, the determination of ports and ship routes, MC and the collision probability, the Bi-LSTM learning process based on MC, the ship collision probability for new or existing routes, and the traffic density. The results of MC, i.e., traffic/vessel route and density, and collision probability for the study area can be used for Bi-LSTM training with the aim of estimating ship collision probability. This article presents the first part of research that includes MC in detail, followed by a preliminary result based on one day of processed AIS data used to simulate MC and propose a model architecture that implements Bi-LSTM for ship collision probability estimation.

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Section: Literature Reviewmentioning

confidence: 99%

Research on Ship Collision Probability Model Based on Monte Carlo Simulation and Bi-LSTM

Vukša

Vidan

Bukljaš

et al. 2022

JMSE

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show abstract

“…Cruising tourism is not only based on natural beauty and cultural-historical diversity but also on ships' experience and navigation [7]. The longitudinal Adriatic corridor in the northwest-southeast direction and the southeast-northwest direction has greater importance than transversal ones [8][9][10]. According to the International Maritime Organization (IMO) report Routing of ships, ships reporting and related matters-Establishment of new recommended Traffic Separation Schemes and other routing measures in the Adriatic Sea (IMO, 2015), the north Adriatic region has two separation schemes that efficiently direct maritime traffic.…”

Section: Introductionmentioning

confidence: 99%

“…The authors stated that maritime traffic flow in the central Adriatic was directed mostly through the Central Adriatic Separation Scheme and that maritime accidents were rare, which indicated good maritime traffic coordination. Lušić et al (2017) [8] analyzed sailing routes and the structure of maritime traffic in the central part of the Adriatic, with focus on maritime traffic inside the Central Adriatic Separation Scheme. The authors concluded that the depth and width is sufficient on a major part of the longitudinal sailing route and that there were no significant navigational risks except the risk of collision and the risk of grounding near the island of Palagruža.…”

Section: Introductionmentioning

confidence: 99%

Cruise Industry Trends and Cruise Ships’ Navigational Practices in the Central and South Part of the Adriatic East Coast Affecting Navigational Safety and Sustainable Development

2022

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The analysis of cruising trends in the Mediterranean regions shows that the Adriatic is the fastest growing cruise region in terms of the number of passenger movements and cruise ships’ port calls among all regions, particularly the central and south part of the east Adriatic coast. The aim of the paper is to analyze leading cruise destination trends in the central and south part of the Adriatic east coast, as well as to identify newly established cruise ships routes, define high-risk navigational and environmental areas and determine cruise traffic density in the vicinity of marine protected areas. The analyses of leading cruise destinations trends are based on four-year (from 2015 to 2019) cruise passenger movement and cruise calls data, whereas analyses of cruise traffic movement are based on one-year cruise ships traffic monitoring (from August 2014 to July 2015). The results of the cruise ship traffic analysis show that cruise ships frequently pass through areas of high navigational and environmental risks that are geographically restricted, navigationally challenging and environmentally sensitive. These routes have become standard navigational practice in newly discovered cruising regions. The obtained results offer a general overview of high-risk cruise ships’ navigational practices in coastal navigation that can be associated with any coastal region in the world.

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“…Since the traffic looks different in different maritime areas, the studies are conducted to determine the parameters of traffic flows for specific waters. Studies on shipping traffic flow have been conducted in the Baltic Sea [8,9], in the Japan Strait [10], in the Adriatic Sea [11], in the port of Lisbon [12], off the coast of India [13], in the Singapore Strait [14]. and in China: the Dagusha Channel [15] and the Ningbo-Zhoushan Port [16].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Vessel Traffic Flow for Waterway Design–Port of Świnoujście Case Study

et al. 2021

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The paper presents an analysis of ship traffic using the port of Świnoujście and the problems associated with modelling vessel traffic flows. Navigation patterns were studied using the Automatic Identification System (AIS); an analysis of vessel traffic was performed with statistical methods using historical data; and the paper presents probabilistic models of the spatial distribution of vessel traffic and its parameters. The factors that influence the spatial distribution were considered to be the types of vessels, dimensions, and distances to hazards. The results show a correlation between the standard deviation of the traffic flow, the vessel sizes, and the distance to the hazard. These can be used in practice to determine the safety of navigation and the design of non-existing waterways and to create a general model of vessel traffic flow. The creation of the practical applications is intended to improve navigation efficiency, safety, and risk analysis in any particular area.

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Analysis of the maritime traffic in the central part of the Adriatic

Cited by 5 publications

References 0 publications

Research on Ship Collision Probability Model Based on Monte Carlo Simulation and Bi-LSTM

Research on Ship Collision Probability Model Based on Monte Carlo Simulation and Bi-LSTM

Cruise Industry Trends and Cruise Ships’ Navigational Practices in the Central and South Part of the Adriatic East Coast Affecting Navigational Safety and Sustainable Development

Modeling of Vessel Traffic Flow for Waterway Design–Port of Świnoujście Case Study

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