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ONGOING UW-MADISON DVC-RELATED RESEARCH Some Preliminary Results. UW-Madison Pyle Center February 4, 2003. TWO STUDIES. Evaluation of Warning Sign Locations and Nearby DVC Patterns Development of Wisconsin County-Level DVC Prediction Models. SIGN/CRASH STUDY.
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ONGOING UW-MADISONDVC-RELATED RESEARCHSome Preliminary Results UW-Madison Pyle Center February 4, 2003
TWO STUDIES • Evaluation of Warning Sign Locations and Nearby DVC Patterns • Development of Wisconsin County-Level DVC Prediction Models
SIGN/CRASH STUDY • DVCs Near Signs have Never been Systematically Considered • This is Not a Study of Crossing Sign Effectiveness • Assumption: Signs are in Locations with Higher than Typical DVC Numbers • Five WI Counties Chosen after a DVC and Carcass Removal Data Evaluation • Considered 3 Years of DVC Data near 72 Signs Grouped within 30 Roadway Segments
SIGN/CRASH STUDY (Cont.) • Segment Group Definition: • The Ends of Each Segment were 2 Miles from the Last Signs in Each Direction Included within a Group • All the Signs in a Roadway Segment Group were within 2 Miles of Each other or the End of the Segment
SIGN/CRASH STUDY (Cont.) • Preliminary Analysis Conclusions: • DVCs per Mile and DVC Rate (per VMT) Found to be Statistically Higher Between Signs • 28 Groups had Higher than State DVC Average Rate Between Signs • “Between” Sign Rate was Approximately 4 Times Higher than the State Average and “Outside” Rate was 2 Times Higher than the State Average • Preliminary Thoughts on Interpretation
COUNTY MODEL STUDY • At Least Two County Models Exist in Other States • Data from 12 WI Counties Eliminated from Use • Lack of Data • Unusual Annual Variability in Reported DVCs • Deviations from Typical County and Statewide Variability • Deviations from Typical County and Statewide Trends
COUNTY MODEL STUDY (Cont.) • Data from 54 Counties used in Development and 6 for Ongoing Validation • Illinois Model Applied and Determined to be Inappropriate for Wisconsin • Three WI Models Developed with Almost 20 Input Variables Considered along with Their Interactions and Higher Order Forms
COUNTY MODEL STUDY (Cont.) • Some of the County Input Variables Considered: • Deer Density and Populations • Human Density and Populations • Traffic Volume (VMT and AADT) • Roadway Length and Density • Acreages: Recreational Areas, Farmland, Woodland and Timberland • Average Season Snow Depth
COUNTY MODEL STUDY (Cont.) • County Models Developed: • DVCs per Land Area • DVC Rate (per VMT) • DVCs per Year • R2 = 0.64 to 0.82
COUNTY MODEL STUDY (Cont.) • Some Variables with Significance: • Deer Density • Human Density • VMT • Roadway Density • Snow Depth • Timberland/Woodland/Recreational Acreages • Models Might be Useful to Predict County & State Numbers and Determine Impacts of Physical Changes
CONCLUSIONS • Research Projects are Additional Benefit of UW-Madison Clearinghouse • Research Work will be Finalized Soon • Expected that Results will be Presented within Region/Nationally and Shared on Website • Students Graduating with Safety Expertise in this Area another Benefit of UW-Madison Clearinghouse