DriveFactor's Road Risk Engine is a geospatial analytics platform that scores road risk at high resolution, across the entire network. It combines multiple data sources into a multi-layer risk picture, and powers scenario-based modelling to drive better decision making.
The Road Risk Engine draws on four categories of data, then ingests and integrates them to create the most comprehensive risk picture possible.
Road geometry, junction layout, speed limits and classification at segment level
Measured and modelled volume and speed data from sensor networks
Precipitation, wind, darkness, sun glare and seasonal conditions
Over a decade of Stats19 collision data matched to individual road segments
Road geometry, road features, speed limits and network layouts: the enduring characteristics that define a road's baseline risk profile.
Traffic volume, speed, time-of-day patterns and weather events: the conditions that shift risk from hour to hour on any given segment.
Risk is adjusted for modelled traffic volume, so the relative risk of changing weather or time of day can be compared on a fair, evidence-based footing.
Road safety budgets are finite and the consequences of poor prioritisation are serious. The Road Risk Engine gives safety teams and planners a consistent, evidence-based foundation for every decision.
Score every segment on your network simultaneously and rank by risk, giving safety teams a defensible basis for programme prioritisation.
Understand why a road is risky by examining the contribution of geometry, conditions and traffic behaviour to identify the most effective lever for intervention.
Before committing budget, model the expected safety impact of a proposed scheme using evidence from comparable treated roads across the network.
Supports building a quantified, evidence-based case for safety investment by providing the numbers behind a funding bid or Vision Zero programme.
Get in touch to arrange a demonstration of the platform applied to your road network.
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