Center for Transformative Infrastructure Preservation and Sustainability

Project Details

Title:
AI-Powered Tools for Safe Evacuation of Individuals During Emergencies
Principal Investigators:
Patrick Singleton, Ph.D.
University:
Status:
Active
Type:
Research
Year:
2024
Grant #:
69A3552348308 (IIJA / BIL)
Project #:
CTIPS-030
RiP #:
Keywords:
artificial intelligence, disasters and emergency operations, evacuation, internet of things, real time information

Abstract

Emergency evacuation via transportation systems and infrastructure is a critical component of public safety, particularly in scenarios involving fires, transportation incidents, wildfires, and tsunamis. Studies have demonstrated the potential of artificial intelligence (AI) and machine learning to enhance evacuation efficiency. The first research need is to investigate and create personalized evacuation plans that consider various factors such as mobility limitations, communication needs, and access to resources. The second research need is to explore methods for integrating real-time data from IoT (internet of things) devices into AI-powered evacuation tools. First, we will assemble comprehensive datasets from multiple sources, focusing on evacuation scenarios involving fires, transportation incidents, wildfires, and tsunamis. Second, we will employ a range of advanced analytical methods to synthesize and analyze the collected data, ensuring the development of effective AI-powered evacuation tools. This research is expected to yield significant advancements in the modeling, practices, and procedures for emergency evacuations, particularly for vulnerable populations.

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