CMF / CRF Details

CMF ID: 2730

Change 85th percentile speed from X to Y

Description: Change the daily 85th percentile speed of a rural roadway from X to Y

Prior Condition:  rural road with an 85th percentile speed of X mph

Category: Speed management

Study: WRRSP: Wyoming Rural Road Safety Program, Ksaibati et al., 2009

 
Star Quality Rating:3 Stars  [View score details]
Rating Points Total:100
Crash Modification Factor (CMF)
Value:Equation
Adjusted Standard Error:
Unadjusted Standard Error:
Crash Reduction Factor (CRF)
Value:Equation
Adjusted Standard Error:
Unadjusted Standard Error:
Applicability
Crash Type:All
Crash Severity:All
Roadway Types:Not Specified
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:Rural
Traffic Volume:Minimum of 35 to Maximum of 1468 Average Daily Traffic (ADT)
Average Traffic Volume:283 Average Daily Traffic (ADT)
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:1995 to 2005
Municipality:
State:WY
Country:USA
Type of Methodology Used:Regression cross-section
Sample Size (crashes):1413 crashes
Other Details
Included in Highway Safety Manual?No
Date Added to Clearinghouse:Mar 21, 2011
Comments:This pair of CMF and CRF equations was obtained from Model #7 (see pg. 57).The researchers removed two outliers prior to modeling (p. 55). This fact must be kept in mind when computing sample size, average ADT, etc.Only 1 week of field data was collected to estimate the traffic volumes and 85th percentile speeds, and no traffic volume conversion factors were used to adjust for seasonal variations in traffic. On the other hand, 10 years of crash data were used. Thus, there was a major disparity in the accuracy of the response variable relative to the predictor variables. The functional classification of the sample used was never specified. The researchers began with crash data from all functional classifications (p. 48), but they screened out the all but the rural crashes. The tables in the report describing the sites (e.g Table 5.1 on p. 49) do not state functional classification either.