Data-Driven Real-Time Wildfires Response (WFRT)

Annually wildfires result in considerable losses in British Columbia, in Canada, and in the world. The problem has been aggravated in recent years worldwide due to global warming. Wildfires affect the ecological balance of the planet and can have serious consequences for people, property, and critical infrastructures in the neighbourhood of the fire.

This project will develop a system to help Wildfire Responders to become more effective in managing single and multiple wildfires situations. This will be achieved by: a) Predicting in real-time how the fire advances minute by minute; b) Given the fire advance, the proposed responses, and the interdependencies with critical infrastructures, software-based what-if simulation scenarios will predict the consequences of possible response actions. Fire advance prediction will be based on fire propagation models derived from data collected in real-time by sensors and in historical data from previous fires. Rogers’ communication network, including 4G and 5G technologies will be used to collect the data in real time, and analyze these data.

Faculty Supervisor:

José R Marti;Edmond Cretu

Student:

Partner:

Rogers Communications Inc.

Discipline:

Engineering

Sector:

Information and cultural industries

University:

The University of British Columbia

Program: