CITYROVER Case Study

Saint-Jean-Sur-Richelieu, QC

AI-Powered Pothole Detection Improves Road Maintenance Efficiency

The City of Saint-Jean-sur-Richelieu is using artificial intelligence technology to proactively detect potholes and optimize roadway maintenance operations across its municipal road network. As reported by Le Canada Français and Le Journal de Québec, the City implemented the CITYROVER platform to automatically identify potholes, cracks, fissures, rutting, and other roadway deficiencies using smartphones mounted inside municipal vehicles.

Twice per year, City vehicles scan approximately 900 km (559 miles) of roadway infrastructure, generating georeferenced roadway condition data that allows Public Works teams to prioritize repairs more effectively and optimize maintenance routes. The AI-powered system enables crews to proactively address infrastructure issues before residents report them, reducing duplicate requests and improving operational planning. By digitally mapping roadway conditions, Saint-Jean-sur-Richelieu has improved maintenance efficiency while reducing duplicate service calls and unnecessary field interventions.

Source: www.journaldequebec.com

Source: www.journaldequebec.com

AI-Powered Pothole Detection Improves Road Maintenance Efficiency

The City of Saint-Jean-sur-Richelieu is using artificial intelligence technology to proactively detect potholes and optimize roadway maintenance operations across its municipal road network. As reported by Le Canada Français and Le Journal de Québec, the City implemented the CITYROVER platform to automatically identify potholes, cracks, fissures, rutting, and other roadway deficiencies using smartphones mounted inside municipal vehicles.

Twice per year, City vehicles scan approximately 900 km (559 miles) of roadway infrastructure, generating georeferenced roadway condition data that allows Public Works teams to prioritize repairs more effectively and optimize maintenance routes. The AI-powered system enables crews to proactively address infrastructure issues before residents report them, reducing duplicate requests and improving operational planning. By digitally mapping roadway conditions, Saint-Jean-sur-Richelieu has improved maintenance efficiency while reducing duplicate service calls and unnecessary field interventions.

Implementation Results

  • Approximately 900 km (559 miles) of municipal roads scanned twice annually using AI-powered roadway inspections
  • 2 municipal vehicles equipped with the CITYROVER system
  • Roadway scanning operations completed in approximately 1 week
  • City reported an approximate 50% reduction in duplicate service requests and unnecessary field interventions
  • Number of potholes requiring repair decreased from approximately 3,000 to 1,500 since 2020 due to earlier detection and proactive maintenance
  • AI system proactively identifies potholes, cracks, cavities, rutting, and road surface deterioration before citizen complaints are submitted
  • Optimized routing and repair prioritization for Public Works maintenance crews
  • Supports proactive infrastructure maintenance instead of reactive complaint-driven operations

Miles of municipal roads scanned twice annually

KM of municipal roads scanned twice annually

%

Reduction in roadway maintenance interventions

Marie-Josée Morin, Director of Public Works Department, Saint-Jean-sur-Richelieu

“Before, we operated by request, whether by internet or by telephone. Then we had to classify it on paper. This gave us duplicates, quadruplicates for the same intervention.”

Maxime Trudeau, Division Head of Operations at the City of Saint-Jean-sur-Richelieu

“This allows us to intervene in the sections of street where we find the most problems.”