Advances in Marine Navigation and Safety of Sea Transportation. Introduction

Weintrit, Adam; Neumann, Tanja

doi:10.1201/9780429341939-1

Cited by 23 publications

(18 citation statements)

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“…j /V ij sin θ, V ij is the relative velocity between class i and class j vessels. L (1) i is the length of class i ships on waterway 1, L (2) j is the length of class j ships on waterway 2, B…”

Section: Fig 5 a Compound Ship Domain With Respect To Ship Speedmentioning

confidence: 99%

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Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology

Zhang

Rachmawati³

et al. 2018

IEEE Trans. Intell. Transport. Syst.

316

141

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The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or satellite base stations. The gathered data contains a wealth of information useful for maritime safety, security and efficiency. This paper surveys AIS data sources and relevant aspects of navigation in which such data is or could be exploited for safety of seafaring, namely traffic anomaly detection, route estimation, collision prediction and path planning.• Real time anomaly detection can identify potential se-1 Operating costs usually include crew, stores and lubes, maintenance and repair, insurance costs and overhead costs and are often distinguished from voyage costs such as fuel and bunkering cost.2 It should be mentioned that there are also other types of data (such as radar, video etc.) that can be used for these applications, but their corresponding algorithms and mechanisms are quite different from that of AIS based and thus are out of the scope of this paper.

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Section: Fig 5 a Compound Ship Domain With Respect To Ship Speedmentioning

confidence: 99%

“…The rapid increase in the affordability of data acquisition, storage and processing infrastructure and advances in intelligent techniques to learn from data offer means to significantly improve maritime safety and security while reducing costs [2].…”

Section: Introductionmentioning

confidence: 99%

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology

Zhang

Rachmawati³

et al. 2018

IEEE Trans. Intell. Transport. Syst.

316

141

View full text Add to dashboard Cite

show abstract

“…Road safety is, however, usually defined in a different way. Safe road traffic is characterised by the absence of crashes, injuries and fatalities [35].…”

Section: Definition Of Safety In Transport In Generalmentioning

confidence: 99%

Overview of Definitions of Maritime Safety, Safety at Sea, Navigational Safety and Safety in General

Formela¹,

Neumann²,

Weintrit³

2019

TransNav

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There are numerous diverse papers that have addressed issues within maritime safety, safety at sea, navigational safety and safety in general; to date there has been no comprehensive review of definitions of these terms. This paper reviewed the definitions on safety in three key areas: maritime safety, safety at sea and navigational safety, and interventions to make navigation and shipping safer. In the paper the authors also deal with issues related to risk analysis and risk management in maritime transport.

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“…There is also a potential dependency of both INS as GPS together as an effective and reliable navigational information cannot be offered by INS standalone and the main reason behind it is more occurances of errors associated with inertial sensors. It has also been seen that a continuous stream of navigational data can be offered by INS while data stream is always intermittent for GPS owing to various forms of signal interference causing outage [7], [8]. Therefore, 95% of the existing research-based work has considered both INS and GPS for evolving up with a better form of navigational system.…”

Section: Introductionmentioning

confidence: 99%

Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mode Controller

Someswari¹,

Tiwari²,

Nagaraj³

2018

IJECE

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The reliability of any embedded navigator in advanced vehicular system depends upon correct and precise information of navigational data captured and processed to offer trustworthy path. After reviewing the existing system, a significant trade-off is explored between the existing navigational system and present state of controller design on various case studies and applications. The existing design of controller system for navigation using error-prone GPS/INS data doesn‟t emphasize on sliding mode controller. Although, there has been good number of studies in sliding mode controller, it is less attempted to optimize the navigational performance of a vehicle. Therefore, this paper presents a novel optimized design of a sliding mode controller that can be effectively deployed on advanced navigational system. The study outcome was found to offer higher speed, optimal control signal, and lower error occurances to prove that proposed system offers reliable and optimized navigational services in contrast to existing system.

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Advances in Marine Navigation and Safety of Sea Transportation. Introduction

Cited by 23 publications

References 0 publications

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology

Overview of Definitions of Maritime Safety, Safety at Sea, Navigational Safety and Safety in General

Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mode Controller

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