Users can use the Wisconsin Strategic Highway Safety Plan (SHSP) Emphasis Areas filter in Crash Query and Dashboards to filter by different SHSP emphasis areas.
When selecting multiple values within the same base filter, the system applies an “or” logic. This means a crash record that matches any of the selected values will be included. When selecting values across different base filters, the system applies an “and” logic. This means only crash records that meet all selected criteria across those filters will be included.
Apply the Crash Injury Severity Filter in addition to the Wisconsin SHSP Emphasis Area filter to filter by injury severity.
Filter values labeled (Crash-Level) are based on the crash dataset and count the number of crashes. Filter values labeled (Person-Level) draw from the person dataset and count the number of individuals involved in those crashes.
SHSP Filter Logic
The following outlines the logic for the values included in the Wisconsin SHSP Emphasis Areas filter in Crash Query and Dashboards.
Improve Safety at Intersections
Crash and Person-Level Dataset
WHEN
Location Type = Intersection
Improve Child Safety Seat Use
Person-Level Dataset
WHEN
Safety Equipment = None Used - Vehicle Occupant
AND
Age ≤ 12
Improve Pedestrian Safety
Crash and Person-Level Dataset
WHEN
Pedestrian Involved = Yes
Reduce Deer Crashes
Crash-Level Dataset
WHEN
Deer Involved = Yes
Reduce Other Animal Crashes
Crash and Person-Level Dataset
WHEN
Animal Type 1 = (Any of the following) Other Non-Domesticated, Turkey, Bear, Raccoon(s), Coyote, Opossum
OR
Animal Type 2 = (Any of the following) Other Non-Domesticated, Turkey, Bear, Raccoon(s), Coyote, Opossum
OR
Animal Type 3 = (Any of the following) Other Non-Domesticated, Turkey, Bear, Raccoon(s), Coyote, Opossum
OR
Animal Type 4 = (Any of the following) Other Non-Domesticated, Turkey, Bear, Raccoon(s), Coyote, Opossum
AND
Animal Type 1= (Is not any of the following) Deer
AND
Animal Type 2 = (Is not any of the following) Deer
AND
Animal Type 3 = (Is not any of the following) Deer
AND
Animal Type 4 = (Is not any of the following) Deer
Curb Aggressive/Reckless Driving
Crash and Person-Level Dataset
WHEN
Aggressive Driving Involved = Yes
Improve Bicyclist Safety
Crash-Level Dataset
WHEN
Bicycle Involved = Yes
Person-Level Dataset
WHEN
Unit Type = Bike
OR
Unit Type = Bicycle
Reduce Motorcycle Crashes
Crash-Level Dataset
WHEN
Motorcycle Involved = Yes
Person-Level Dataset
WHEN
Unit Type = Motorcycle
AND
Unit Type = Police on Emergency
OR
Unit Type = Autocycle
AND
Unit Type = M
OR
Unit Type = Motorcycle
Reduce No Helmet Motorcycle Crashes
Crash-Level Dataset
WHEN
Motorcycle Involved = Yes
AND
No Helmet (Motorcycle) = Yes
Person-Level Dataset
WHEN
Unit Type = Motorcycle
AND
Unit Type = Police on Emergency
OR
Unit Type = Autocycle
AND
Unit Type = M
OR
Unit Type = Motorcycle
AND
Helmet Type = No
AND
Motorcycle Involved = Yes
Reduce Weather-Related Crashes
Crash and Person-Level Dataset
WHEN
Roadway Condition (Grouped) = (Any of the following): Wet, Snow, Slush, Ice, Water (Standing/Moving)
OR
Weather Conditions (Grouped) = (Any of the following): Rain, Snow, Sleet, Wind, Fog, Blowing Snow, Freezing Rain or Freezing Drizzle
Reduce Cross Median Crashes
Crash and Person-Level Dataset
WHEN
Manner of Collision = (Any of the following): Front to Front
AND
Sequence of Events (Grouped) = Cross Median
Reduce Single Vehicle Lane Departure Crashes
Crash and Person-Level Dataset
WHEN
Lane Departure Involved (Single Unit) = Yes
Reduce Multi-Vehicle Lane Departure Crashes
Crash and Person-Level Dataset
WHEN
Lane Departure Involved (Multi Unit) = Yes
Improve Teen Driver Performance
Crash and Person-Level Dataset
WHEN
Teen Driver Involved = Yes
Improve Work Zone Safety
Crash and Person-Level Dataset
WHEN
Work Zone Involved = Yes
Reduce Driver Distraction
Crash and Person-Level Dataset
WHEN
Distraction Involved = Yes
Sustain Proficiency in Older Drivers
Crash and Person-Level Dataset
WHEN
Older Driver Involved = Yes
Increase Seat Belt Use
Crash Level Dataset
WHEN
No Occupant Protection Used = Yes
Person Level Dataset
WHEN
Safety Equipment = None Used - Vehicle Occupant
Reduce Alcohol Involved Crashes
Crash and Person-Level Dataset
WHEN
Alcohol Involved = Yes
Reduce Drug Involved Crashes
Crash and Person-Level Dataset
WHEN
Drugs Involved = Yes
Reduce Impaired Driver Crashes
Crash and Person-Level Dataset
WHEN
Impairment Involved = Yes
Note: Impaired Driver is any crash in which the driver was impaired
Improve Safety for Large Truck Travel
Crash and Person-Level Dataset
WHEN
Large Truck Involved = Yes
Improve Safety for Commercial Motor Travel
Crash and Person-Level Dataset
WHEN
Commercial Motor Vehicle Involved = Yes
Improve Speed-Related Crashes
Crash and Person-Level Dataset
WHEN
Speeding Involved = Yes
Reduce Vehicle/Train Crashes
Crash and Person-Level Dataset
WHEN
Train Involved = Yes