Visual analytic based ship collision probability modeling for ship navigation safety
| Autor: | Hasan Alp Boz, Ülkü Öztürk, Selim Balcisoy |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Structure (mathematical logic)
0209 industrial biotechnology Basis (linear algebra) Navigation safety Computer science General Engineering 02 engineering and technology Port (computer networking) Field (computer science) Computer Science Applications Domain (software engineering) 020901 industrial engineering & automation Artificial Intelligence Position (vector) 0202 electrical engineering electronic engineering information engineering Trajectory 020201 artificial intelligence & image processing Marine engineering |
| Zdroj: | Expert Systems with Applications. 175:114755 |
| ISSN: | 0957-4174 |
| Popis: | This study presents a tangible visual analytic tool to analyse maritime traffic in spatio-temporal basis using AIS data. This novel approach helps in understanding the macroscopic safety structure of both fairways and individual ships with evidences in microscopic level. Qualification of our system is demonstrated with 7-days AIS trajectory collected from Mexican Gulf. We find out that spatio-temporal position pattern of encountered ships in Port Houston varies over time, significantly. In addition, the spatial distribution of ship accidents coincide with proposed near-miss density areas. Furthermore, proposed tool is capable of capturing real accident cases. Field experiments with domain experts have demonstrated that our approach helps in making realistic inferences about navigational safety behaviour of both individual vessel and water area. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect