CMF / CRF Details

CMF ID: 7582

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: 4 Stars   [View score details]
Crash Modification Factor (CMF)
Value: 0.799
Adjusted Standard Error:
Unadjusted Standard Error: 0.087
Crash Reduction Factor (CRF)
Value: 20.1   (This value indicates a decrease in crashes)
Adjusted Standard Error:
Unadjusted Standard Error: 8.7
Applicability
Crash Type: All
Crash Severity: K (fatal),A (serious injury),B (minor injury),C (possible injury)
Roadway Types: Principal Arterial Other
Number of Lanes:
Road Division Type: All
Speed Limit:
Area Type: Urban
Traffic Volume: Minimum of 2079 to Maximum of 22960 Annual Average Daily Traffic (AADT)
Average Traffic Volume: 9781 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:
Country: Canada
Type of Methodology Used: Before/after using empirical Bayes or full Bayes
Sample Size (sites): 93 sites before, 93 sites after
Other Details
Included in Highway Safety Manual? No
Date Added to Clearinghouse: Nov-01-2015
Comments: