Road RiskR.I.S.K. research platform

Results and case studies

Reviewed casesComparativeNot official

Reviewed model-output cases under controlled assumptions

This page presents the reviewed public case dataset from the current Road Risk site. It does not create, infer, or fabricate case data.

Open App V2Read graph guide

Public Evidence Orientation

Results in 60 Seconds

Start here before using the filters and charts. The Results page is a public evidence surface for reviewed Road Risk examples, not a public database of private dashboard records.

Page Purpose

How to read the Results page

This page explains what the public evidence dataset can show before the interactive dashboard appears.

Evidence type
Reviewed public model-output cases from the deployed site dataset.
Read first
Start with Phase 1 Model-Behaviour Evidence before using filters and charts.
Interactive section
Use the dashboard to compare stored model outputs, confidence labels, and assumptions.
Boundary
Charts do not show observed collision frequency, public authority ratings, or legal guidance.
Reviewed Public Cases

These are saved Road Risk model-output records that were reviewed before inclusion in the public site dataset. They are not private dashboard records.

Model Outputs, Not Crash Counts

Charts compare modelled outputs, road metadata, confidence labels, and stored assumptions. They do not show observed collision frequency.

Private Records Stay Private

Signed-in dashboard projects can hold private imports, datasets, and evidence records. Those records do not appear on this page.

Use App V2 to Explore

Open App V2 to select roads, change assumptions, inspect Maths & Method traces, and export evidence packages.

Live App

Explore interactively

Select roads, change assumptions, inspect local bins, and create new modelled outputs.

Open App V2
Method

Understand the model

Read how public data, derived geometry, assumptions, confidence, and outputs are separated.

Read Method
Boundary

Read the limits

Review what has been checked, what remains uncalibrated, and how RSA context should be read.

View Validation Boundary

Public and Private Records

Public Reviewed Cases vs Private Dashboard Records

Visible to all visitors
Public reviewed cases
  • Included in the deployed public dataset after review.
  • Suitable for demonstration, graph interpretation, and public method discussion.
  • Do not contain private account identifiers, dashboard project ownership, auth data, or private notes.
  • Currently represent reviewed selected-road-style model-output examples in the public dataset.
Signed-in workspace only
Private dashboard records
  • Belong to signed-in users and their private dashboard projects.
  • Can include App V2 saves, imports, datasets, evidence records, and evidence-package material.
  • Are not shown on this public Results page and are not automatically publishable.
  • Remain protected by account, project, and ownership checks.

Reviewed Case Guide

How to Read a Reviewed Case

What a case is

A reviewed case is a saved Road Risk model-output example from the public dataset. It stores road context, scenario assumptions, model-output values, data-quality labels, and source notes so visitors can inspect how the model behaves across examples.

A case is not an observed collision record and is not an official assessment of a named road.

FieldHow to read it
Road / location labelThe selected road name, reference, class, and available public map context.
Model version / sourceThe reviewed dataset stores model-output records from the Road Risk public case source.
Scenario assumptionsWeather, surface, lighting, vehicle, and behaviour settings are scenario inputs, not claims about real conditions.
Annual model outputA comparative model output under stored assumptions, not observed crash probability.
Safe speed / stopping distancePhysics-informed estimates used for comparison. They are not legal guidance or driving instructions.
ConfidenceA data-quality and fallback-reliance label, not a safety rating.
Reviewed statusThe record is public because it was included in the reviewed static dataset, not because it is an official finding.

Chart Guide

What the Results dashboard can and cannot show

Overview

Summarises visible reviewed cases after filters are applied. Metrics update with the active public sample.

Charts

Shows distributions, grouped means, and scatter views for model-output records. Use them to compare model behaviour, not to certify roads.

Cases and Table

Lists reviewed case metadata and model-output summaries for inspection, export, comparison, and detail review.

Chart meaning is not colour-onlyPublic reviewed cases onlyModel-output summaries

Reviewed public dataset

Reviewed public case dashboard

Reviewed public cases are part of the deployed site dataset and appear for all visitors. The dashboard below filters and charts those records only.

Public reviewed cases

These records are reviewed public model-output examples included with the deployed site dataset.

Private dashboard records

Signed-in dashboard projects can hold private imports, datasets, and evidence records that do not appear here.

Interpretation boundary

The graphs summarise model outputs under assumptions. They do not show observed collision frequency.

Recommended reading pathMobile-friendly order

1. Overview

Start with visible-case metrics and interpretation notes.

2. Cases

Open individual reviewed cases and read source/data-quality details.

3. Charts

Compare model-output summaries after you understand the dataset boundary.

4. Table

Use the table for inspection, keyboard review, and export checks.

On phones, start with Overview or Cases before opening dense Charts and Table views. All chart summaries remain model-output summaries, not observed collision frequency.

Results control bar

Reviewed public cases only. Search and filters combine; no records are generated by filtering.

Showing 100 of 100Reviewed public dataset

Road filters

Scenario filters

Output filters

Evidence-quality filters

Metrics based on visible filtered cases100 visible / 100 total

Results at a glance

This dashboard summarises reviewed public cases only. Values update with the active search and filters.

Visible cases

100

Metrics update with the active search and filters.

Road classes

10

Distinct stored OSM road classes in the visible set.

Scenario profiles

1

Distinct stored scenario profiles.

Mean output

0.5946%

Mean Annualised Comparative Model Output.

Median output

0.1696%

Median Annualised Comparative Model Output.

Highest output

4.5096%

Highest visible stored output.

Lowest output

0.0065%

Lowest visible stored output.

Median safe speed

42.4 km/h

Median friction-limited safe-speed estimate.

Lowest safe speed

7.9 km/h

Lowest visible safe-speed estimate.

Mean stopping

58.0 m

Mean visible stopping distance.

Longest stopping

130.9 m

Longest visible stopping distance.

Confidence counts

Low: 50 / Medium: 41 / High: 9

Data-confidence labels, not safety ratings.

Missing percentile

100

Visible cases without stored percentile context.

Fallback cases

100

Visible cases with at least one fallback assumption.

Common road class

Primary

Most common road class in the visible set.

Common output band

Very low (<0.10%)

Most common visible output band.

Common stopping value

17.5 m

Appears 32 time(s).

How to read higher output

A higher Annualised Comparative Model Output means a higher modelled comparative value under saved assumptions. It is not an observed crash frequency.

How to read safe speed

Lower safe speed indicates a lower friction/curvature-limited speed estimate. It is not a legal speed limit or driving recommendation.

How to read stopping distance

Longer stopping distance means more modelled distance under stored speed, friction, vehicle, and reaction assumptions.

What confidence means

Confidence describes public-data completeness and fallback reliance. It does not mean road safety or validation quality.

Percentile context

Percentiles depend on saved comparison context. The current reviewed cases do not store percentile context.

Boundary

Charts summarise reviewed model-output cases, not observed collision frequency, official ratings, or exact crash prediction.

Highest visible outputs

#1R422Secondary / Low4.5096%
#2N16Trunk / Medium4.2316%
#3L1021Tertiary / Low3.0268%
#4Unnamed Selected RoadTertiary / Low2.7169%
#5R238Secondary / Medium2.2635%

Longest stopping distances

#1Monasterevin BypassMotorway / High130.9 m
#2M4Motorway / High130.9 m
#3Ferns BypassMotorway / High130.9 m
#4Portlaoise BypassMotorway / High130.9 m
#5R280Secondary / Low97.8 m

Lowest safe-speed estimates

#1Unnamed Selected RoadService / Low7.9 km/h
#2BallymacarthurTertiary / Low11.2 km/h
#3Unnamed Selected RoadUnclassified / Low12.1 km/h
#4Ramore AvenueUnclassified / Low12.1 km/h
#5Unnamed Selected RoadService / Low12.5 km/h

Graph interpretation

How to read the Results graphs

Charts summarise reviewed model-output cases. They do not show observed collision frequency.

Histogram / KDE

Central distribution shape

Use it to see whether a selected output sits in a common or unusual region.

Do not read it as observed collision frequency.

ECDF / CDF

Cumulative percentile position

Use it to show how much of the sampled set sits below the selected output.

Do not treat the percentile as a universal ranking.

Box / violin

Distribution spread and robust summary

Use it for median, quartiles, spread, and tails.

Do not over-read one point without the sample context.

Upper-tail markers

P95 and P99 context

Use it to inspect whether upper-tail outputs are isolated or common.

Do not conclude official danger from marker position.

Scenario comparison

Selected-assumption shifts

Use it when the same road or sample is compared under controlled assumption changes.

Do not compare scenarios if the underlying state changed in other ways.

Selected-road marker

The marker shows where the selected output sits inside the sampled comparison set.

Assumption changes

Rain, fog, speed, fatigue, vehicle, or surface settings can move both the selected output and the sampled context.

Sample size

A small or narrow sample makes percentile interpretation weaker.

Confidence colour

When used, confidence colour describes data quality, not official danger.

  • Graph data, risk cards, maths output, exports, and map overlays should refer to the same selected-road state.
  • Percentiles depend on the sample size and the roads included in the comparison set.
  • Confidence colour or labels describe data completeness, not real-world road danger.
  • Factor contribution charts should not mix unrelated units as if they were comparable percentages.
  • Scenario comparisons need scenario diversity; one stored scenario profile is not enough for a public comparison chart.

App V2 Handoff

Explore Comparable Outputs in App V2

From reviewed examples to live exploration

The public Results page helps explain the reviewed case dataset. App V2 is where visitors can select roads, adjust scenario assumptions, inspect local bins, enable observed historical context where configured, and export evidence material.

Signed-in users can save outputs to private dashboard projects. Those private records are not automatically added to the public Results page.

Primary

Run App V2

Open the live map workspace and create comparable modelled outputs under explicit assumptions.

Open App V2
Private Workspace

Save to Project

Optional sign-in is only needed to save App V2 outputs, imports, datasets, and evidence records to private projects.

Open Private Workspace
Method

Review assumptions

Read the method page before treating chart differences as meaningful model behaviour.

Read Method