Arctic navigation tool balances safety ecology and community needs
An Autonomous GeoAI Agent for Arctic Eco-Navigation
Artificial Intelligence
Summary
Navigating ships through the Arctic is tricky because of ice, environmental concerns, and local communities nearby. The authors made a computer system that helps plan safer routes by looking at many factors like ice conditions, wildlife habitats, and community impacts all at once. This system uses different specialized parts working together and lets people make final choices, making sure decisions consider the environment and communities responsibly. The tool is openly shared online so others can use or improve it.
What this means in practice
- •For arctic shipping operators: Plan routes that improve vessel safety while reducing impact on sensitive Arctic ecosystems and local communities using multi-criteria optimization.
- •For environmental monitoring teams: Acquire and process geospatial data on Arctic habitats to support decision-making that balances ecosystem protection with maritime activity.
Authors
Samira Alkaee Taleghan, Younghyun Koo, Farnoush Banaei-Kashani
Abstract
Arctic maritime navigation is becoming increasingly important as changing sea-ice conditions expand seasonal accessibility while simultaneously introducing substantial operational, environmental, and community risks. Arctic route planning is inherently a multi-criteria problem: routes that improve vessel safety or efficiency may increase exposure to sea ice, sensitive ecosystems, or nearby communities. Existing routing methods prioritize travel time, fuel use, and navigational risk, often overlooking ecological and community impacts. We introduce a human-in-the-loop, multi-agent GeoAI system for Arctic eco-navigation that integrates operational, physical, ecological, and community-related criteria within a unified routing framework. Multiple specialized agents coordinate geospatial data acquisition and preparation, multi-objective route generation, and skyline-based decision support. The ecological criteria explicitly account for exposure to sensitive areas, including Essential Fish Habitat and seal critical habitat. By considering these ecosystem impacts and potential community burdens while keeping consequential value judgments under human control, the framework supports safer, more transparent, and socially responsible Arctic navigation. Project page and code are publicly available. https://samiraat.github.io/Arctic-Eco-Navigation-Agent/, https://github.com/samiraat/Arctic-Eco-Navigation-Agent