A public comparison tool for computing human crash-rate baselines for robotaxis and robotrucks across explicit methodological assumptions.
Human Crash Baselines is Valgo’s tool for estimating human-driver crash rates in urban geofenced areas and highway trucking corridors, providing reference rates for comparisons with automated-driving systems. Users can adjust and track methodological choices—including crash definitions, vehicle types, and operating domains—and examine how different defensible choices affect the results through specification-curve analysis. The tool draws on public crash, roadway-exposure, and weather data. Valgo also documents a Python client for its API, which supports region, route, and depot-to-depot computations. The product’s source code is described as Apache-2.0 licensed.
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