Ministry of the Interior and Safety Promotes Development of Korea's First 'Maritime Traffic Volume Prediction Model'

Expectations for Reduction in Maritime Accidents

The government is set to develop an artificial intelligence (AI)-based data analysis model that can predict maritime traffic congestion in waters near South Korea for the first time domestically.

The Ministry of the Interior and Safety's Integrated Data Analysis Center announced on the 19th that it will develop an AI-based data analysis model by December to understand maritime traffic volume and congestion through data analysis.

During the model development process, ship location information data secured and managed by the Ministry of Oceans and Fisheries and the Korea Coast Guard through Automatic Identification System (AIS: Ministry of Oceans and Fisheries, V-PASS: Korea Coast Guard) will be integrated and utilized.

The Ministry of the Interior and Safety expects that the model to be developed will help prevent collisions between ships, thereby reducing maritime safety accidents, and will also serve as an important foundation for establishing maritime policies.

The Korea Maritime Traffic Safety Authority plans to install the developed analysis model into the Maritime Traffic Information System (MTIS) and make it accessible so that the public can also use it for safe marine leisure activities.

Jung Seon-yong, Director of Government Innovation Organization at the Ministry of the Interior and Safety, emphasized, “Since maritime accidents carry about twice the risk of death compared to land accidents, special safety management measures are necessary.” He added, “We will actively support the development and utilization of this AI-based prediction model to practically contribute to safe maritime activities.”

This content was produced with the assistance of AI translation services.