Grants and Contributions:
Title:
Enhancing Flood Evacuation Strategies through gent-Based Modeling, Artificial Intelligence, and Virtual Reality
Agreement Number:
1041245
Agreement Value:
$100,000.00
Agreement Date:
Oct 1, 2025 - Mar 31, 2027
Description:
Flood-induced disasters in both riverine and coastal environments have become increasingly frequent due to climate change and urban expansion. Traditional evacuation models rely on static assumptions and fail to capture the complexity of human decision-making under stress. Agent-Based Models (ABMs) offer a powerful alternative by simulating interactions between heterogeneous agents, allowing for more realistic and adaptive evacuation scenarios. This Project will apply a newly developed ABM model to evaluate evacuation effectiveness under different coastal and riverine flood scenarios, considering factors such as early warning systems, road network congestion, and social influence on decisionmaking. Incorporating Artificial Intelligence (AI) will enhance predictive capabilities, while virtual reality (VR) will serve as a training and educational tool for emergency planners and local populations in flood-prone areas. The Project’s merged coastal engineering, AI-driven computational modeling and sociology of disaster management will create a robust, human-centered framework for disaster response.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Ottawa, Ontario, CA K1N 6N5
Reference Number:
172-2025-2026-Q4-1041245
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119278877
Recipient Type:
Academia
Recipient's Legal Name:
University of Ottawa
Federal Riding Name:
Ottawa--Vanier--Gloucester
Federal Riding Number:
35081
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences