Analysis of waterway transportation in Southeast Texas waterway based on AIS data

Wu, Xing; Mehta, Aesha L.; Zaloom, Victor; Craig, Brian

doi:10.1016/j.oceaneng.2016.05.012

Cited by 90 publications

(42 citation statements)

References 30 publications

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“…This domain application type has been evidenced by numerous works, including [11,12]. But it must be mentioned that there is a number of other successful applications of ship domains, namely, (i) analysis of waterway capacity [13], (ii) AIS-based detection of near-misses [14][15][16][17], (iii) analysis of waterway collision risk [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Ship Domain-Based Method of Determining Action Distances for Evasive Manoeuvres in Stand-On Situations

Szlapczynski

Krata

Szlapczynska

2018

Journal of Advanced Transportation

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A ship encounter can be considered safe if neither of ships’ domains (defined areas around ships) is intruded by other ships. Published research on this includes optimising collision avoidance manoeuvres fulfilling domain-based safety conditions. However, until recently there was no method, using ship’s domain to determine exact moment when a particular collision avoidance manoeuvre can still be successfully performed. The authors have already proposed such method for give-way encounters. In the paper, documenting continuation of the research, another kind of scenarios is considered. This paper is focused on situations where the own ship is the stand-on one and the target is supposed to manoeuvre. The presented method uses a ship’s dynamics model to compute distance necessary for a manoeuvre successful in terms of avoiding domain violations. Additionally, stability-related phenomena and their impact on possible manoeuvres in heavy weather are taken into account. The method and applied models are illustrated in a series of simulation results. The simulations cover various examples of stand-on situations, including encounters in heavy weather conditions. Discussed manoeuvres may be limited to course alteration or may combine turns with speed reduction.

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Section: Introductionmentioning

confidence: 99%

A Ship Domain-Based Method of Determining Action Distances for Evasive Manoeuvres in Stand-On Situations

Szlapczynski

Krata

Szlapczynska

2018

Journal of Advanced Transportation

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“…The second selected variable is the relative velocity between two ships V r -most of the authors is in agreement as to its influence on degree of collision danger [22,24]. The third selected variable is the difference between directions of motion of two ships, α, calculated by means of the relations (1):…”

Section: Choice Of Input Parameters For the Proposed Novel Methodsmentioning

confidence: 97%

“…Investigations on detection of near-miss situations are carried out for various sea water areas. In the publication [22] its authors made use of data from the AIS intended for the analyzing of ship traffic in coastal waters of Southeast Texas, Sabine-Neches Waterway (SNWW), important for oil transportation. It is assummed that collision risk is tightly associated with number of the so called conflicts and this number has been tested by examining violations of circular or eliptical ship's domains as well as relative speeds between ships.…”

Section: Existing Methods For Detecting the So Called Navigational Comentioning

confidence: 99%

A Framework of A Ship Domain-Based Near-Miss Detection Method Using Mamdani Neuro-Fuzzy Classification

Szlapczynski

Niksa-Rynkiewicz

2018

Polish Maritime Research

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Safety analysis of navigation over a given area may cover application of various risk measures for ship collisions. One of them is percentage of the so called near-miss situations (potential collision situations). In this article a method of automatic detection of such situations based on the data from Automatic Identification System (AIS), is proposed. The method utilizes input parameters such as: collision risk measure based on ship’s domain concept, relative speed between ships as well as their course difference. For classification of ships encounters, there is used a neuro-fuzzy network which estimates a degree of collision hazard on the basis of a set of rules. The worked out method makes it possibile to apply an arbitrary ship’s domain as well as to learn the classifier on the basis of opinions of experts interpreting the data from the AIS.

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“…Since Fujii introduced the concept of ship domain, researchers have been making statistical analysis on the distances between ships in scene of encountering, and calculating the size of domain according to expert experience [20] - [23]. At present, concept of ship domain has been used in maritime research widely, including recent applications to various traffic engineering problems: waterway capacity analysis [24], waterway collision risk analyses [25] - [28], near miss detection [13], [29]- [32], ship traffic simulation development [33], and ship collision avoidance analysis [34], [35].…”

Section: B the Model For Detecting Near Misses Based On The Navigatimentioning

confidence: 99%

Research on Time Characteristics of Near Miss in Bohai Sea

et al. 2020

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Analysis of waterway transportation in Southeast Texas waterway based on AIS data

Cited by 90 publications

References 30 publications

A Ship Domain-Based Method of Determining Action Distances for Evasive Manoeuvres in Stand-On Situations

A Ship Domain-Based Method of Determining Action Distances for Evasive Manoeuvres in Stand-On Situations

A Framework of A Ship Domain-Based Near-Miss Detection Method Using Mamdani Neuro-Fuzzy Classification

Research on Time Characteristics of Near Miss in Bohai Sea

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