CMF / CRF Details
CMF ID: 7639
Implement mobile automated speed enforcement system
Description: Mobile unit vans with noticeable markings were parked close to the roadway. Police officers in vans operated laser guns and software. Signage and media campaigns informed drivers of enforcement.
Prior Condition: No photo radar
Category: Advanced technology and ITS
Study: A Before-and-After Empirical Bayes Evaluation of Automated Mobile Speed Enforcement on Urban Arterial Roads, Li et al., 2015
Star Quality Rating: | [View score details] |
Rating Points Total: | 105 |
Crash Modification Factor (CMF) | |
---|---|
Value: | 0.915 |
Adjusted Standard Error: | |
Unadjusted Standard Error: |
Crash Reduction Factor (CRF) | |
---|---|
Value: | 8.5 (This value indicates a decrease in crashes) |
Adjusted Standard Error: | |
Unadjusted Standard Error: |
Applicability | |
---|---|
Crash Type: | All |
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: | All |
Minimum Speed Limit: | |
Maximum Speed Limit: | |
Speed Unit: | |
Speed Limit Comment: | |
Area Type: | Urban |
Traffic Volume: | |
Average Traffic Volume: | 9388 Annual Average Daily Traffic (AADT) |
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: | 2005 to 2012 |
Municipality: | City of Edmonton |
State: | notusa |
Country: | Canada |
Type of Methodology Used: | Before/after using empirical Bayes or full Bayes |
Sample Size (sites): | 31 sites before, 31 sites after |