Crash Rate
This documentation explains the purpose, methodology, and user steps required to run crash rate analyses within TES.
🧭 What Is the Goal of This Module?
The Crash Rate module is a network screening tool in TES used to identify and rank non-signalized intersections by safety risk. It calculates and compares crash rates over time to help prioritize sites for review or intervention.
📐 Methodology: How Crash Rate Is Calculated
TES uses a standard crash rate formula:
Crash Rate = (Number of Collisions / AADT) × 1,000
Where:
- Collisions = Number of reported collisions at a location in a year
- AADT = Annual Average Daily Traffic for that location
Each crash rate is calculated per year and then averaged over the selected time period.
Example:
If a site had crash rates of 0.60, 0.90, and 1.20 over three years, the average crash rate would be:
(0.60 + 0.90 + 1.20) / 3 = 0.90
TES then ranks each location by this average. This helps municipalities prioritize their top concern areas
User Guide
1. Access Network Screening
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Navigate to Safety > Network Screening .
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Create or select an existing Network Screening Project
2. Add a Crash Rate Analysis
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Click the + Analysis button
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Enter a Title
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Choose Crash Rate as the Analysis Type
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Click Add
3. Configure Crash Rate Analysis
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Click on the row to open the newly added analysis
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Under Crash Rate Settings , confirm:
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The Title
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Selected Years
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Initial Impact Types
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Classification (Fatal, Injury, PDO)
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4. Run Analysis
Once fields are complete, click the save button to process your request.
You’ll see a green message:
“We are currently analyzing your request. You will receive an email shortly with the result update.”
5. View Results
TES displays the following fields:
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Rank – Position in the risk ranking (1 = highest crash rate)
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Yearly Crash Rate Columns – Individual crash rates for each selected year
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Average Crash Rate – Calculated average over selected years
6. Export Results
Click the Export icon to download either all rows or only selected rows as an Excel file.
7. Map View
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Switch to the Map tab to see the ranked sites visualized by color:
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Red / Dark brown – Lower risk
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Green / Yellow – Higher risk
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Legend shows crash rate thresholds
This visual layer helps identify hotspots and make data-driven intervention decisions.
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