Canada's transportation infrastructure faces significant challenges, with over 50,000 publicly owned bridges and 11% currently in poor or very poor condition. The Bridge Health Monitoring and Maintenance Decision Support System is an artificial intelligence tool being developed by the National Research Council of Canada in partnership with Housing, Infrastructure and Communities Canada, Esri Canada, and the University of Manitoba to help governments make better decisions about bridge maintenance, renewal, and replacement.
This AI system analyzes bridge monitoring data to predict infrastructure health and support long-term investment planning. By enabling remote monitoring capabilities and providing decision support for maintenance prioritization, the system aims to reduce both the physical risks of bridge failure and the economic costs of infrastructure management. The system is currently in development and does not involve the processing of personal information.
The primary users of this system are Government of Canada employees who will use the AI-based bridge health predictions to inform infrastructure management decisions. This system represents an important step toward more efficient and data-driven management of Canada's critical transportation infrastructure.
