Make operational decisions
based on risk
As standard, map16 provides a risk analysis of your highway assets. Increase efficiency by adopting a risk based approach.
Live Risk Updates
Make Decisions Based On Risk
IoT Sensor Integration
Big Data Analytics
In a risk based maintenance regime, geospatial information can be used to create a targeted and more cost-effective approach. From analysis of simple historic data, flood zoning, population density, slope data, tree fall and insurance claims. All datasets are analysed to produce the most optimal cleansing regimes.
Feed live inspection data into the risk model to give constant risk analysis of the network. Along with this, the risk model can now utilise map16 IoT gully sensor data as well. Driven by machine learning to provide next level risk analysis. Using this approach clients have seen up to 35% reduction in cleansing.