A Case Study for the Development of An Adaptive Route Optimizer for Wildfire Evacuation

The proposed research focuses on improving wildfire evacuation planning by creating a real-time, AI-driven route optimization system. Using advanced geospatial tools like ArcGIS, the project will analyze GPS, traffic, weather, and wildfire data to identify safe, efficient evacuation routes. It will also incorporate evacuee behavior, such as common stops at essential services, to ensure routes meet evacuees’ needs. The research aims to dynamically adjust routes based on evolving conditions, such as fire proximity and traffic congestion, to enhance evacuation efficiency and safety. The partner organization ESRI will benefit from demonstrating the practical application of their tools in public safety, providing innovative solutions for disaster management.

Faculty Supervisor:

Xin Wang

Student:

Partner:

Esri Canada Ltd

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Calgary

Program: