2022
DOI: 10.1017/s0373463321000862
|View full text |Cite
|
Sign up to set email alerts
|

Temporal features of non-accident critical events impact from tides around the Yangtze Estuary and adjacent coastal waters

Abstract: Applying non-accident critical events (NACEs) as an alternative measuring method to assess ship collision risk has become popular in recent years. NACEs has shown temporal features in different waters. This study uses the quaternion ship domain method to identify NACEs around the Yangtze Estuary and adjacent coastal waters from the Automatic Identification System (AIS) data in October 2019. The results indicate that NACEs show different temporal features in estuaries and coastal waters. The relationship betwee… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
6
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(9 citation statements)
references
References 44 publications
(64 reference statements)
3
6
0
Order By: Relevance
“…The proposed model was not limited by the statistical period and can allow maritime surveillance operators to better understand the collision risk in a water area in real time. When the experiment was extended by using a larger range of data, from 16 June 2022 to 30 June 2022, a similar phenomenon was observed in the near miss map, depicted by using the method in [14], as shown in Figure 22. In addition, the proposed model was also compared with the near miss model proposed in [14].…”
Section: Discussionsupporting
confidence: 61%
See 4 more Smart Citations
“…The proposed model was not limited by the statistical period and can allow maritime surveillance operators to better understand the collision risk in a water area in real time. When the experiment was extended by using a larger range of data, from 16 June 2022 to 30 June 2022, a similar phenomenon was observed in the near miss map, depicted by using the method in [14], as shown in Figure 22. In addition, the proposed model was also compared with the near miss model proposed in [14].…”
Section: Discussionsupporting
confidence: 61%
“…The model in [22] found it difficult to fully and accurately identify the collision risk in such situations, while the proposed model, which additionally considered the traditional collision avoidance parameters on the basis of the SDOR, had an advantage in collision risk identification in such scenarios. In addition, the proposed model was also compared with the near miss model proposed in [14]. The model was used to calculate near misses at 1300 on 24 June 2022, and the distribution map is shown in Figure 21.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations