Safety assessment for establishing ships' routeing: Recommended route off the western coast of Izu O Shima Island

Miyake, Rina; Itoh, Hibiki; Nishizaki, Chihiro; Fukuto, Junji

doi:10.1109/acdtj.2017.8259595

Cited by 5 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study demonstrated one of the most common scenarios in coastal areas, including encounters between two ships sailing in the opposite directions. For ships conflicting at other encounter angles, the calculation methods for various encounter angles, such as that proposed by Kawashima and Itoh (2019), or deterministic methods, such as that used in Miyake et al (2017), should be considered.…”

Section: Discussionmentioning

confidence: 99%

“…In addition to providing navigational support, it is used for analysing hazardous locations. For example, in previous studies, OZT was calculated for all ship combinations in a target area to detect hazardous locations and their degrees (Miyake et al, 2017;Itoh and Miyake, 2019). Studies have reported that the calculated metrics and actual frequency are not sufficiently consistent when considering ship-to-ship collisions in sea areas (Goerlandt and Kujala, 2014).…”

Section: Estimation Methods For Number Of Encountersmentioning

confidence: 99%

“…Preliminary analysis of the present traffic conditions and historical accident data revealed that most collisions occurred due to head-on conflicts owing to mixing of the traffic to and from Tokyo Bay. Accordingly, the team drafted recommended routes to reduce such collisions, predicted the future traffic under each option and estimated their safety and economic effects (Miyake et al, 2016(Miyake et al, , 2017.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Method for prediction of ship traffic behaviour and encounter frequency

Itoh

2021

J. Navigation

Self Cite

View full text Add to dashboard Cite

The design of new rules on seaways, such as traffic restrictions, requires determining the degree of improvement in marine traffic safety beforehand by considering the occurrence of new hazardous factors. This study proposes a method to predict the future traffic behaviour and ship encounter frequency (EF) with the introduction of a new traffic rule. First, a sensitivity analysis is conducted to identify the factors affecting the EF. A method of predicting future traffic behaviour and EF is presented based on the analysis of changes in the traffic flow in an area with a temporal restriction. Results show that the method appropriately predicts the location and degree of the occurrence of encounters in the sea area. The proposed method contributes to the discussion of future traffic safety, when sailing in a specific area is restricted by new regulations, installations of new offshore wind farms and fishing reefs.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Estimation Methods For Number Of Encountersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Method for prediction of ship traffic behaviour and encounter frequency

Itoh

2021

J. Navigation

Self Cite

View full text Add to dashboard Cite

show abstract

Calculation of the number of ship collision candidates using mesh-based estimation method for ship traffic data

2022

View full text Add to dashboard Cite

Predicting and assessing the ship–ship collision possibility in waters are important for discussions on ship traffic safety. The geometric number of collision candidates is one of the most commonly used indexes for representing the frequency of multi-ship encounters that have potential collisions. It has often been estimated for ship traffic in a delimited area based on existing concepts. However, to discuss ship traffic safety in wide-congested waters where ships navigate along various courses and various ship encounters occur, a comprehensive understanding of potential collisions corresponding to all encounter characteristics, such as the encounter angle and location, is necessary. This paper proposes a method, called a “mesh-based estimation method,” to calculate the geometric number of collision candidates. It can deal with various encounter angles by introducing a computational mesh to comprehensively assess potential collisions in wide-congested waters. The validation of the method is conducted by applying it to simple ship traffic and comparing the calculated result with a result calculated based on a conventional approach. In addition, the method is applied to traffic data of AIS-equipped ships navigating in Tokyo Bay in Japan to show locations that have potential collisions based on the encounter angles.

show abstract