Reference number : 172-2025-2026-Q4-1041212, amendment number : , agreement type : G, recipient legal name : Niigata University, recipient country : JP, recipient province : nan, recipient city : NISHI-KU, NIIGATA-SHI,, recipient postal code : nan, program name english : Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives, program name french : Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D, program purpose english : 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., program purpose french : Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires., agreement title english : Enhancing Flood Evacuation Strategies through gent-Based Modeling, Artificial Intelligence, and Virtual Reality, agreement title french : Amélioration des stratégies d’évacuation en cas d’inondation grâce à la modélisation multi-agents, à l’IA et à la réalité virtuelle, agreement number : 1041212, agreement value : 100000.0, agreement start date : 2025-10-01, agreement end date : 2027-03-31, description english : 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 P merged coastal engineering, AI-driven computational modeling and sociology of disaster management will create a robust, human-centered framework for disaster response., description french : L’augmentation des catastrophes liées aux inondations nécessite des modèles d’évacuation plus réalistes. Les modèles multi-agents permettent de simuler des comportements complexes et adaptatifs.
L’intégration de l’intelligence artificielle améliore les capacités prédictives, tandis que la réalité virtuelle sert à la formation et à la sensibilisation. L’ensemble vise à renforcer la gestion des catastrophes centrée sur l’humain, expected results english : 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., expected results french : À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides., additional information english : nan, additional information french : nan, owner organization : nrc-cnrc, owner organization title : National Research Council Canada | Conseil national de recherches Canada