SOURCE-LINKED INTELLIGENCE

FIRE-WUI: AGENTIC ARTIFICIAL INTELLIGENCE FOR WILDFIRE EVACUATION UNDER MIXED AUTONOMY -WILDFIRES IN THE WILDLAND-URBAN INTERFACE INCREASINGLY THREATEN COMMUNITIES INCLUDING RESIDENTS WITHOUT RELIABLE ACCESS TO TRANSPORT

USAspending · observation · Publication date unknown

FIRE-WUI: AGENTIC ARTIFICIAL INTELLIGENCE FOR WILDFIRE EVACUATION UNDER MIXED AUTONOMY -WILDFIRES IN THE WILDLAND-URBAN INTERFACE INCREASINGLY THREATEN COMMUNITIES INCLUDING RESIDENTS WITHOUT RELIABLE ACCESS TO TRANSPORTATION DURING EVACUATIONS. RECENT FIRE EVENTS IN THE U.S. HIGHLIGHT HOW SIMULTANEOUS ALERTS, OVERWHELMED COMMUNICATIONS SYSTEMS, AND BLOCKED ROAD CORRIDORS CAN LEAVE MANY HOUSEHOLDS WITHOUT SAFE EVACUATION ROUTES. THIS PROJECT DEVELOPS A NEW APPROACH TO DELIVER A RELIABLE SYSTEM THAT HELPS EMERGENCY MANAGERS UNDERSTAND HOW A WILDFIRE IS SPREADING, HOW ROADS ARE BECOMING INACCESS

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recordType

award

region

US

value

2000000

unit

USD