Data Driven Road Quality Monitoring & Predictive Maintenance. Enabling Asset Managers and Organizations Involved in Road Maintenance to Save up to 30% on their Annual Road Maintenance Budget. Boosting Efficiency. Saving on Labour, Materials, CO2 Emissions, Water Usage, and Asset Downtime.
RoadEO is developing a global road quality monitoring and prediction platform advising public road authorities and commercial construction firms when and where the next road segment needs to be maintained.
For this, we combine available traffic and environmental information with our own set of novel sensor and data sources such as crowdsourced smartphone measurements, in-vehicle sensors as well as satellite earth observation to create a unique big data pool that is being analyzed and interpreted through our artificial intelligence solution.
The provided information helps our customers to detect road wear and structural damages alike, cheaper than with specialized vehicles and better than visual bypass assessments and allows for optimal decision making and maintenance schedule. This results in maximized road safety reduced cost of operations and minimised downtime for repair purposes.