Vessel AIS Data. How Does it Help In Accident Investigation?

Dec 16, 2021

Vessel AIS data is known as an information resource for multiple people, and It is used for traffic forecasting, safety assessment, empirical research, policymaking, etc. AIS helps to support real-time traffic surveillance that traffic controllers and sea areas conduct.

The representation of ship movements and information related to the ship identity, vessel tracker, or the position of the speed models has been renowned by many publications. The AIS data is associated with the collision and groundings and the area of research. 

AIS plays a vital role in accident investigation to improve the information related to the contributing factors. The analysis of the conditions is associated with the navigation accidents linked with AIS marine traffic or vessel accident so, It is based on the aggregated information that researchers have constructed.

Some of the studies conducted support risk modelling that uses AIS data to obtain data to calculate the multiple types of accident frequencies linked with traffic volume. 

AIS Data. What is it?

When it comes to anything related to Maritime Tracking Data, you will see the abbreviation AIS thrown around a lot.

AIS stands for automatic identification system and is a tracking system that allows us to see vessels in a particular area and displays real-time information about vessels from anywhere in the world.

This may cause a lot of confusion, so it is important to understand what AIS is, and for that, we made the perfect guide for you in our blog!

Vessel AIS Data What It Is

Let’s discuss how does vessel AIS data help in accident investigation:

Table of Contents

  1. Describing The Technical Procedures
  2. Normalization
  3. Obtaining Activity Data Indirectly  
  4. Locating Vessel Accident Report Data

1. Describing The Technical Procedures

It is stated that the use of aggregated activity data within the area of safety studies is quite scarce.

Whereas applying activity data helps measure the risk, describing the technical procedures is better than the relevance or validity of the data.

The data’s availability determines the activity measures. 

Vessel AIS Data Technical Procedures
Ship AIS Data Normalisation

2. Normalisation

Due to the assumption, the selected activity linked accidents, whereas the action is often referred to as exposure. Normalize the factor, and it is essential to have data that quantify the activity level.

Normalization implies a calculation of brilliant vessel accident rates using a simple equation that helps with the absolute number of accidents known as the numerator. The activity data is termed s denominator. 

It is better to refer to the values measured so that they look appropriate. An impact on absolute digits assumes the specified conditions, so while comparing the numbers of container vessel accidents, it is reasonable to take the activity level among the other factors, therefore, It plays a vital role in influencing the absolute numbers used to identify differences and other factors. 

We know that activity data could be obtained from multiple sources that are sometimes “ready-made” based on formalized reporting systems. The database contains activity data that varies across industries. The international standardized reporting systems for activity data were applied. 

3. Obtaining activity Data Indirectly

It is a common approach, and the activity would construct by transforming multiple types of available data. It is related to calculating vehicle mileage by mixing the records regarding fuel consumption and related with the expected consumption per mile, as the result, the use of AIS data signifies the indirect approach.

Furthermore, real-time traffic monitoring is purposed and aggregated for statistical causes. 

Obtain Indirect Vessel AIS Data

AIS data represents the navigational behavior of the single vessel. The practical applications of activity data and accident rates are a lot where the activity data need to control traffic volume to compare the multiple locations to identify the accident-prone specifically, so the areas of application to compare with the accidents associated with different vessels categories and characteristics related with the vessels. It is connected with the classification society, shipping company, vessel design, etc. the activity level is linked while comparing the multiple accidents over time to determine the trends of safety levels that may influence the accident rates. 

4. Locating Vessel Accident Report Data

Hence the information is used to create categories that help in accident rates—the data of vessel’s types, classification, flag states, vessel’s age, and geographical areas.

The vessel taxonomy is linked with the official database that not refers to the international standard. The categories are mutually exclusive and need no consistency with unique classification. The other conditions are related to the new vessel categories during the years.

AIS Data Vessel Location

The investigation of the accident data is obtained from the MNA accident database, where the time duration is 2010-2015. The database is linked with the reported marine accidents that involve all vessels sailing under the Norwegian flag. The maritime accidents are registered in the database that is associated with thirteen accident types. It is related to groundings, collisions, fire and explosions, allusion, and capsizing, etc.

Each event in the database is further divided into the following themes related to vessel identity associated with vessel name, IMO number, MMSI number, shipping company, society, flag state, etc. The vessel description is linked with the hull material, length, year of construction, etc. it is coupled with the geographical information, accident explanation, operational and weather conditions, etc.

It helps to describe that the ship categories constitute a nomenclature rather than a taxonomy. The new vessel taxonomy uses the vessel’s activity as a principle. It is done under the NMA taxonomy and the international StatCode5 ship coding system.

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