Science & Tech · AI · 2 hrs ago
AI predicts ships’ arrival at Incheon Port within six minutes
Inha University and Incheon Port Authority developed an AI tool to estimate when ships will reach Incheon Port’s lock.
The port authority has put the technology into a pilot service.
It analyzes ships’ location, speed and direction data from their automatic identification systems.
Its average difference from actual arrival times is under six minutes, and the university says it improved prediction performance by 49% compared with a method based on distance and speed.
The estimates are available on the port authority’s website, alongside information on ship arrivals and departures.
The predictions can help port businesses prepare by giving shipping companies, agents and cargo handlers earlier notice of arrival schedules.
A graduate student who worked on the project has also started a business based on the technology.
Inha University and Incheon Port Authority developed an AI system that predicts when ships will reach Incheon Port’s lock.
The system’s average error compared with actual arrival times is under six minutes, the university said.
Its performance improved by 49% compared with a method based on distance and speed.
The system analyzes ships’ positions, speeds and directions gathered through automatic identification systems.
The pilot service displays predictions on the port authority’s website to help port businesses prepare for arrivals.
- Who
- Inha University and Incheon Port Authority developed the system.
- What
- An AI service predicts ships’ arrival times at Incheon Port’s lock, with an average error of under six minutes.
- When
- The university announced the results on October 16, 2026.
- Where
- Incheon Port, South Korea.
- Why
- The information is intended to help shipping companies, ship agents and cargo handlers plan schedules and prepare work in advance.
This story does not have two clearly opposing sides.
Inha University and Incheon Port Authority developed the AI ship-arrival prediction technology through industry-academic cooperation.
The technology was applied to the port authority’s AI-based ship arrival prediction pilot service.
Inha University announced the system’s results.
- Average prediction error
- Under 6 minutes
- Performance improvement
- 49% compared with the distance-and-speed method
- Data source
- Ships’ automatic identification systems (AIS)
- Port
- Incheon Port
- Pilot service operator
- Incheon Port Authority
- Availability
- The port authority’s Ship Arrival and Departure Status webpage
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What people are saying
This achievement is a meaningful example of AI technology developed at a university being applied in the field and leading to a student startup.