CMF / CRF Details
Implement automated speed enforcement cameras
Countermeasure ID: 2912
Description:
Prior Condition: No automated speed enforcement demonstration program
Category: Advanced technology and ITS
| Star Quality Rating: |  [View score details] | 
| Rating Points Total: | 115 | 
| Crash Modification Factor (CMF) | |
|---|---|
| Value: | 0.52 | 
| Adjusted Standard Error: | |
| Unadjusted Standard Error: | 0.16 | 
| Crash Reduction Factor (CRF) | |
|---|---|
| Value: | 48 (This value indicates a decrease in crashes) | 
| Adjusted Standard Error: | |
| Unadjusted Standard Error: | 16 | 
| Applicability | |
|---|---|
| Crash Type: | Sideswipe | 
| Crash Severity: | All | 
| Roadway Types: | Principal Arterial Other | 
| Street Type: | |
| Minimum Number of Lanes: | |
| Maximum Number of Lanes: | |
| Number of Lanes Direction: | |
| Number of Lanes Comment: | |
| Crash Weather: | Not specified | 
| Road Division Type: | |
| Minimum Speed Limit: | |
| Maximum Speed Limit: | |
| Speed Unit: | |
| Speed Limit Comment: | |
| Area Type: | Urban and suburban | 
| Traffic Volume: | |
| Average Traffic Volume: | |
| Time of Day: | All | 
| If countermeasure is intersection-based | |
| Intersection Type: | |
| Intersection Geometry: | |
| Traffic Control: | |
| Major Road Traffic Volume: | |
| Minor Road Traffic Volume: | |
| Average Major Road Volume : | |
| Average Minor Road Volume : | |
| Development Details | |
|---|---|
| Date Range of Data Used: | 2001 to 2006 | 
| Municipality: | Scottsdale | 
| State: | AZ | 
| Country: | |
| Type of Methodology Used: | Before/after using empirical Bayes or full Bayes | 

