DriveFactor produces evidence-based, predictive risk maps and tools for local authorities, road safety teams and transport planners. Support your road safety strategy with accurate, actionable data.
DriveFactor's Road Risk Engine represents the next generation of road safety modelling. It continuously integrates collision records, road geometry, traffic flow and environmental conditions to produce high-resolution models of risk across road networks.
Collision probability per road segment, predicted from road geometry, features, network layout, speed limits and historical collision density.
View product →Models how traffic volume, weather, light conditions and time of day combine to shift collision likelihood across the network — giving a time-sensitive picture of where and when risk is elevated.
View product →Models sun trajectory alignment with road geometry. Identifies which segments face direct sun exposure by time of day and season, and flags periods of severe glare risk.
View product →Collision risk per vehicle kilometre travelled — the likelihood that any given journey on a segment results in a collision. Exposes genuinely dangerous roads, not just busy ones.
View product →Simulate how changes in traffic flow and congestion affect collision risk, built on sensor network data and collision patterns.
View product →Predict the expected collision reduction from a road safety intervention, grounded in measured scheme outcomes from across the UK network.
View product →Road risk is shaped by many interacting factors. DriveFactor brings these together to create a comprehensive risk profile, enabling you to anticipate and understand road risk better than ever before.
Structural risk grounded in road geometry, junction design, road features, carriageway layout and over a decade of Stats19 recorded collision data.
Risk varies significantly by time of day, day of week, season and weather. Fatigue-related patterns, darkness, precipitation, wind and other conditions known to influence collision likelihood are all considered.
Measured and modelled traffic conditions, including flow estimates, speeds and driving behaviour, converting static risk into a dynamic scoring system based on real changes to traffic flow
Prioritise safety investment using evidence-based spatial risk maps. Quantify the risk impact of congestion or adverse conditions on your network to support planning and interventions.
Integrate high-resolution risk predictions into transport assessments, scheme appraisals and safety audits. DriveFactor's data layer feeds directly into modelling and design workflows.
Route and schedule planning informed by dynamic risk scores. Identify when and where your vehicles are exposed to elevated risk, and model the effect of timing or route changes.
We work with local authorities and transport organisations to build and deploy risk analytics solutions.