Bytero Road

Motor accident risk at the level of a single address.

Bytero Road scores the road environment a vehicle is garaged in — the geographic factor behind motor territory rating. Built from police crash registers, the state traffic census and a per-road accident model. The output is a territory factor against the national average, the dangerous corridors near the address, and map layers where the prediction can be checked against recorded crashes. Coverage: Slovakia and Czechia.

Motor accident risk

The geography of motor risk: from a pricing factor to validation against real recorded crashes.

Territory factor× average

A multiple of risk per driven kilometre versus the national average: the geographic term for an insurer’s frequency model.

Accident frequency0–100

A 0 to 100 road-environment score around the garaging address: road classes, junctions, curves and level crossings.

Per-road dangerper km driven

Every road rated on its own: the model scores crash risk per kilometre driven across the entire network.

Crash hotspots~1 km

Corridors where crashes physically pile up: road danger times real traffic intensity from the census.

Recorded crashes912k points

912 thousand geocoded police crashes as the training base and the ground-truth map for validation.

Predicted crashesSpearman 0.95

The predicted crash rate on every road, verified by overlap with recorded crashes.

912kgeocoded crashes in training
0.95prediction vs reality agreement
2016–2024police data period
SK + CZboth road networks covered

How Bytero Road computes risk

  1. 1

    Road network

    Classes, junctions, curves, crossings and grade from map data for the whole country.

  2. 2

    Crash model

    A model trained on 912k geocoded crashes, normalized by traffic intensity.

  3. 3

    Factor per address

    The typical driving surroundings of an address roll up into a territory factor for pricing.

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