Ville de Laval, QC
AI-Powered Pothole Detection Improves Road Maintenance Operations
The Ville de Laval is using artificial intelligence technology to proactively detect potholes and improve roadway maintenance operations across its municipal road network. Through an AI-powered roadway inspection program, cameras mounted on municipal vehicles automatically capture street-level imagery during routine operations. The system analyzes the imagery and identifies potholes and roadway defects while generating georeferenced data for Public Works staff.
By continuously collecting roadway condition information, Laval is able to identify defects earlier, prioritize maintenance activities more effectively, and reduce reliance on citizen complaints as the primary source of roadway condition reporting. The initiative supports a more proactive maintenance strategy by providing crews with current information on roadway conditions and helping direct repair efforts where they are needed most.
AI-Powered Pothole Detection Improves Road Maintenance Operations
The Ville de Laval is using artificial intelligence technology to proactively detect potholes and improve roadway maintenance operations across its municipal road network. Through an AI-powered roadway inspection program, cameras mounted on municipal vehicles automatically capture street-level imagery during routine operations. The system analyzes the imagery and identifies potholes and roadway defects while generating georeferenced data for Public Works staff.
By continuously collecting roadway condition information, Laval is able to identify defects earlier, prioritize maintenance activities more effectively, and reduce reliance on citizen complaints as the primary source of roadway condition reporting. The initiative supports a more proactive maintenance strategy by providing crews with current information on roadway conditions and helping direct repair efforts where they are needed most.
Implementation Results
Automated pothole detection during regular municipal operations- Faster identification of roadway defects across the network
- Improved prioritization of maintenance and repair activities
- Reduced dependence on complaint-driven inspections
- Enhanced roadway condition mapping and data collection
- More proactive infrastructure management and planning
Road Monitoring Approach
Detection Technology
Maintenance Strategy
Media
CJAD 800 FM – The Elias Makos Show
The city of Laval has turned to AI to help detect and prioritize
Article by Patrick Bellerose, Le Journal de Quebec
Quebec cities are testing artificial intelligence to tackle potholes