Wildfire Evacuation

This tool uses high-performance computing and an open-source traffic simulation tailored for scalability. It updates evacuation routes in real time by combining road network data with information about road closures due to wildfires. The system also adjusts to changes in road capacity and runs multiple simulations to determine how quickly people can evacuate and identify where vehicles might get stranded.

To ensure the highest accuracy, our simulations use cutting-edge computer vision and machine learning to maintain precise road network data, which we gather from both street-level images and high-resolution satellite imagery.

Additionally, we use detailed population data from the U.S. Census Bureau to accurately predict how many people will need to evacuate in different areas, including projections for future population growth. This comprehensive approach makes our simulations both robust and reliable, helping to enhance wildfire emergency planning and response.