Predicting the Safest Path during an Earthquake using AI Planning

Objectives

• To develop a prototype AI system that can predict and verify safe routes between schools, hospitals, workplaces, and homes in the aftermath of an earthquake.
• To reduce the risk of travelling after an earthquake and help families reunite more quickly and safely.

Methodologies

• Machine learning algorithms
• Data on buildings and streets in Istanbul’s Fatih District
• Risk score calculation
• Shortest and safest path calculation

Outcomes

• A prototype AI system that can accurately predict and verify safe routes in the aftermath of an earthquake.

Impact of the solution

• Reduced risk of travelling after an earthquake
• Faster and safer family reunification
• Improved emergency response

Conclusion

The AI system developed in this project is a promising low-cost way to reduce the risk of travelling after an earthquake and help families reunite more quickly and safely. The system could be deployed in other cities around the world to improve emergency response and preparedness.