Road network
Classes, junctions, curves, crossings and grade from map data for the whole road network.
Bytero Road™
Motor accident risk of the roads around a garaging address.
Bytero Road scores the roads a vehicle is garaged among, the geographic part of a motor territory rating. It is trained on geocoded police crash records, weighted by the traffic the state census counts on each road. For an address it returns a territory factor against the national average and the nearby corridors where recorded crashes concentrate; the recorded crash points can be shown next to the prediction on the map. The model knows where the car is kept, not where it is driven.
Get accessMotor accident risk
A score for the roads around an address
What the roads around an address add to motor risk, and how the prediction compares with recorded crashes.
Territory factor× average
How many times the national average risk per kilometre the roads around the address carry. It is the geographic term of an insurer’s frequency model.
Accident frequency0 to 100
A 0 to 100 score of the road environment around the garaging address: road classes, junctions, curves and level crossings.
Per-road dangerper km driven
Each road segment gets its own predicted crash rate per kilometre driven.
Crash hotspots~1 km
Corridors where recorded crashes concentrate: road danger times the traffic the census counts there.
Recorded crashespolice records
Geocoded police crash records as the training base and the map to check against.
Predicted crashesvs. recorded
The predicted crash rate on each road, checked by its overlap with recorded crashes.
How it works
How Bytero Road computes risk
Crash model
A model trained on geocoded police crashes, normalised by traffic intensity.
Factor per address
The roads around an address roll up into one territory factor for pricing.