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Agent Based Maritime Traffic Modelling (Contractor)

Sector: Seaport • Location: United Kingdom

Source: Find a Tender Service (UK)

Tender
Complete

Trinity House (TH) are looking for a contractor to provide ML/AI expertise and to develop a synthetic trace generation model that reflects the macroscopic characteristics of real-world maritime traffic. Its aim is to replicate the general maritime traffic patterns of an examined area, not to predict the precise future course of individual vessels. To facilitate the exploration of 'what-if' scenar

Status
Closed
Sector
Seaport
Location
United Kingdom
Updated
3 Nov 2026
Source
Find a Tender Service (UK)

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The tender “Agent Based Maritime Traffic Modelling (Contractor)” is a tender record in Taiyo, linked to the Seaport sector. It is issued for works, goods, or services related to United Kingdom.

Participants

Not available for this record.

Status

Original status

complete

Taiyo status

Closed

Taiyo last update

2026-11-03

Contact

Not available for this record.

Description

Description

Trinity House (TH) are looking for a contractor to provide ML/AI expertise and to develop a synthetic trace generation model that reflects the macroscopic characteristics of real-world maritime traffic. Its aim is to replicate the general maritime traffic patterns of an examined area, not to predict the precise future course of individual vessels. To facilitate the exploration of 'what-if' scenarios, the envisaged model should be capable of simulating various maritime conditions and configurations/layouts of offshore infrastructure for an examined location. The generated synthetic traces are expected to contain information similar to that found in real-world AIS data, including fields such as vessel speed, course, and other pertinent details. TH will offer advice, guidance, and supervision throughout the project to ensure alignment with our requirements.

Location

Country

United Kingdom (UK)

Source

Source

Find a Tender Service (UK)

URL

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Record type

Tender

Sector

Seaport

Article published date

2026-10-24

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