Ghozi Restu Anggani, A. Arfianto, Arleiny Arleiny, Bambang Teguh Setiawan
{"title":"Ship Collision Realtime Early Warning System Based on Automatic Identification System (AIS) Data","authors":"Ghozi Restu Anggani, A. Arfianto, Arleiny Arleiny, Bambang Teguh Setiawan","doi":"10.11594/ijer.v3i1.42","DOIUrl":null,"url":null,"abstract":"One of the efforts to improve shipping safety is using the Automatic Identification System (AIS) according to the International Maritime Organization (IMO) recommendations. By utilizing Automatic Identification System (AIS) data, the system can monitor AIS ship movement patterns and compare them with the latest conditions. Information such as the ship's position, destination and speed is tracked. The author will create a real-time ship collision early warning system based on AIS data in this final project. The method used is the haversine formula to calculate the distance between two coordinate points on the earth's surface based on the ship's latitude and longitude. The results of AIS data in the form of latitude, longitude, and ID numbers will be processed using PHP to determine the distance and angle of the ship in real time. From 50 tests on two ships, two conditions can cause ship collisions. The results of these tests are that the percentage of collisions is 4%. The real-time system helps know the ship's actual movement based on current conditions","PeriodicalId":308664,"journal":{"name":"Indonesian Journal of Engineering Research","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Journal of Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11594/ijer.v3i1.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
One of the efforts to improve shipping safety is using the Automatic Identification System (AIS) according to the International Maritime Organization (IMO) recommendations. By utilizing Automatic Identification System (AIS) data, the system can monitor AIS ship movement patterns and compare them with the latest conditions. Information such as the ship's position, destination and speed is tracked. The author will create a real-time ship collision early warning system based on AIS data in this final project. The method used is the haversine formula to calculate the distance between two coordinate points on the earth's surface based on the ship's latitude and longitude. The results of AIS data in the form of latitude, longitude, and ID numbers will be processed using PHP to determine the distance and angle of the ship in real time. From 50 tests on two ships, two conditions can cause ship collisions. The results of these tests are that the percentage of collisions is 4%. The real-time system helps know the ship's actual movement based on current conditions