CRS·CZ
CS

For professionals

A reproducible foundation for studies, expert reports, and strategic documents

Open data, transparent formulas, a unified methodology across the entire ŘSD network. A suitable input for a regional safety strategy, an expert witness report, or a peer-reviewed publication. Formulas, CDV unit costs, and the implementing decree to Section 18m of Act No. 13/1997 Coll. — everything is traceable and citable.

Spearman correlation matrix among segment metrics — an example of a transparent analytical artefact Spearman correlation matrix among segment metrics — an example of a transparent analytical artefact
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Citable methodology and transparent formulas

The RAR, RSI (with Reinhold severity weights) and H (social cost in CZK, with CDV unit costs) formulas are published in full. The implementing decree to Section 18m of Act No. 13/1997 Coll. is referenced alongside the safety-class mapping.

You can quote the formula in your study or expert report exactly as it stands. No hidden coefficients, no internal adjustments. The full context lives in the Methodology section.

Ranking of segments with ŘSD IDs and RAR, RSI, H metrics — input for a regional safety strategy Ranking of segments with ŘSD IDs and RAR, RSI, H metrics — input for a regional safety strategy
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A foundation for strategic documents

Regional road-safety strategies, BESIP action plans, transport concepts, spatial planning documents. A ranking of segments by the largest H in CZK as input into investment priorities; aggregations by region and by district for regional-level decision making.

Inter-regional comparability follows from the unified methodology across the entire ŘSD network — no region-by-region differences in internal classification.

Accident time series — by-year, seasonal, by-region, correlation, and social-cost views Accident time series — by-year, seasonal, by-region, correlation, and social-cost views
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Analytical substrate: correlations, aggregations, time series

Five analytical views over the same data: By Year, Seasonal, By Region, Correlation, Social Cost. The Spearman correlation matrix among segment metrics serves as input into deeper statistical work.

Cells with low observation counts are explicitly flagged, so they do not lead to conclusions from a small sample. The current year is computed via a seasonally-weighted projection and is hatched in the charts — at a glance you can see where measured data ends and the estimate begins.

Map of the full ŘSD network — a machine-readable dataset Map of the full ŘSD network — a machine-readable dataset
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Machine-readable data

Beyond the web interface, the data is also available for machine processing — via CSV export and a REST API.

Questions

What professionals ask

How should I cite your data in a study or expert report?
Recommended citation template: Zbirovský, J. (2026). Critical Road Segments of the Czech Republic. kritickesilnicniuseky.cz [accessed: date]. The dataset version corresponds to the month of the last update, shown in the platform footer. For peer-reviewed publications we recommend including the specific version as well.
Under what licence is the data provided?
Processed data, aggregations, and indicators on the platform are provided under CC BY 4.0 — you can freely use them, including derivatives, provided you cite the source. Primary sources (ŘSD, the Czech Police, CDV, ČHMÚ) carry their own licence terms, listed on the Methodology page.
How often is the data updated?
Monthly, aligned with the publication cadence of the Czech Police. ŘSD traffic intensities feed in with the 5-year cadence of their nationwide traffic census. When CDV unit costs are revised, the H indicator is recomputed retrospectively for the full 2015–2024 period to keep the time series comparable.

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