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Minnesota Crash Mapping Analysis Tool (MnCMAT) & Crash Data
Mark Vizecky (Va-Sis-Ski) State Aid for Local Transportation Program Support Engineer Sulmaan Khan State Aid for Local Transportation Assistant Project Development Engineer March 2012
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Agenda Welcome - Introductions Sources of Crash Data
Crash Detail Levels Methods of Retrieval Transportation Information System (TIS) (Gen 1) Excel Spreadsheet (Gen 2) MnCMAT (Gen 3) Overview Case Studies Demonstration Analyzing the Data Green Sheets Top 200 Intersection/Top 150 Sections Rates vs Density Traffic Engineering Fundamentals Handbook Wrap-up
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Data Source and Criteria
Sources Police Accident Report Paper Electronic Citizen (public) Report Criteria (D-16 manual) Fatality, Injury or Property Damage >$1,000 Roadway open to the public Death must be within 30 days for fatality Intentional and medical caused NOT counted
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Police Accident Report (PAR)
Overlay Report
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Police Accident Report (PAR)
Overlay (Front) Overlay (Back)
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Citizen Accident Report
(Front) Report (Back)
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D-16 Manual “…promote uniformity and comparability of motor vehicle traffic statistics..”
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D-16: Sample (53 pages)
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Model Minimum Uniform Crash Criteria (MMUCC)
“…provide a minimum, standardized data set for describing crashes of motor vehicles..”
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A Crash is NOT a simple event….
PERSON LEVEL CRASH LEVEL VEHICLE LEVEL
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Importance of Data Elements (Top 3)
Education County/city location Seat belt usage Drinking Enforcement Corridor location Time of day Day of week Engineering Location
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Crash Level data elements
Location Route System Route Number Reference point (nnn is wild guess) Interchange element Reliability Numbers = DPS only, Alpha = MnDOT 1 or A – Confident (within feet) 2 or B – Less confident (within .25 mi) 3 or C - Best guess (within 1 mile) 4 or D - Wild guess (within county or city) City County
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Route Systems State 01: Interstate 02: US Trunk Highway
03: Mn Trunk Highway City 05: Municipal State Aid (MSAS) 10: Municipal (M) County 04: County State Aid Highway (CSAH) 07: County Road Other 08/09: Township (Organized/Unorganized) 14: State Forest road 23: Airport Roads 24:Private roads (no ref points) 30: Alleys (no ref points) Etc.
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Crash Level data elements
Location Route System Route Number Reference point (nnn is wild guess) Interchange element Reliability Numbers = DPS only, Alpha = MnDOT 1 or A – Confident (within feet) 2 or B – Less confident (within .25 mi) 3 or C - Best guess (within 1 mile) 4 or D - Wild guess (within county or city) City County
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Route Number (8 digits) Trunk Highways (Systems 1 – 3)
Leading zeroes not needed ISTH 35W (stored as W) USTH 169 (stored at ) MNTH 7 (stored as ) City Streets (MSAS and MUN) First 4 digits are city number (NOT state aid number, but census number) MSAS (Duluth) MUN (Faribault) ALL OTHERS First 2 digits are county number CSAH (Anoka county) CR (Dakota county)
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Crash Level data elements
Location Route System Route Number Reference point (nnn is wild guess) Interchange element Reliability Numbers = DPS only, Alpha = MnDOT 1 or A – Confident (within feet) 2 or B – Less confident (within .25 mi) 3 or C - Best guess (within 1 mile) 4 or D - Wild guess (within county or city) City County
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Interchange Element Sketches
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Crash Level Data Elements
Non-Location When Date Time Day of week Light conditions What Type Weather conditions Road Conditions Speed limit Work Zone Etc. Severity For CRASH, derived from most severe injury/fatality Number killed Number Injured
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Person Level Data Elements
Who Non-Public (Name, Address) we do NOT get Age Gender Condition Alcohol Drugs License restrictions/endorsements Safety Equipment Seat Belts Air bags Helmet Severity
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Vehicle Level Data Elements
Vehicle info Type Make Body type Actions Contributing factors (up to 2) Sequence of Events (up to 4) Pre-accident Action Most harmful event Direction of Travel
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Transportation Information System (TIS)
Created in 1970’s Mainframe: User ID SPF, JCL, TSO, ACF2 #?!#!!!! (not user friendly) Huge users manual Reports fixed format
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Generation 1 – 1970’s and 1980’s List Accidents by Ref Point (paper)
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Generation 2 – 1990’s Excel spreadsheets
Crash Level Vehicle/Person Level
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Pro’s – ALL Methods Important
TIS Mainframe Traffic/Rate capabilities Has intersection/section capabilities Has sophisticated multi file linkages The only practical option for some analysis Excel Easy to use – well known software Sort and filter Updated easily MnCMAT Mapping Charting Filtering
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Generation 3 – 2000’s MnCMAT
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Presentation Overview
Development of Program MnCMAT Features Case Studies Gaining Access Questions and Demonstration
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Brief History of MnCMAT
Developed in Iowa late 1990’s – early 2000’s Iowa DOT & ISU Original named Crash Mapping Analysis Tool (CMAT) Introduced to Minnesota in 2006 Via County Engineers Funded by Local Road Research Board (LRRB) Project Research Implementation Committee (RIC) State Aid for Local Transportation (SALT)
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Crash Analysis Tool Classification
Macroscopic Tool Large Area Coverage Trends and Statistics Microscopic Tool Drill Down Capabilities Filters Selection Capabilities GIS Base Mapping Tool Visual Tool Charts Maps Reports Data Files
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Basics of MnCMAT Program
GIS Based Mapping System MnDOT Mainframe Data Transportation Information System (T.I.S.) Location Crash Type Road Condition Driver Data XXXXXX T.I.S. Data is Generated from Law Enforcement and Citizen Crash Reports
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Basic MnCMAT Crash Analysis Process
Step 1 Select Area to be Analyzed Step 2 Apply Filtering Criteria Step 3 Generate Output Maps Charts Reports Data Files
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Basic MnCMAT Crash Analysis Process
Step 1 Select Area to be Analyzed
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MnCMAT Data Covers Entire State
Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
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State Wide Selection
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MnCMAT Data Covers Entire State
Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
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Single County Selection
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Multiple County Selection
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County Selection
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MnCMAT Data Covers Entire State
Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
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MnCMAT Toolbars
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MnCMAT Data Covers Entire State
Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
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Selection by Rectangle
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MnCMAT Data Covers Entire State
Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
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Selection by Polygon
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MnCMAT Data Covers Entire State
Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
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Selection by Circle
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MnCMAT Data Covers Entire State
Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
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Selection by Road Segment
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Select Location with Find Location Selection
County City Intersection Crash Number XY Coordinate
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Crash Data Using Stacks
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Interchange Element Sketches
Question: How many crashes occurred at this interchange?
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B C A
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Basic MnCMAT Crash Analysis Process
Step 1 Select Area to be Analyzed Step 2 Apply Filtering Criteria
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Filter Selection
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Filter Categories City Contributing Factor 1 Relation to Intersection
County Crash Diagram Crash Severity Day of Month Day of Week Driver Age Driver Condition Driver Gender First Harmful Event Investigating Officer Light Condition MnDOT District Month Number of Fatalities Number of Vehicles Relation to Intersection Reliability of Information Road Design Roadway Character Speed Limit Surface Conditions System Class Time of Day Traffic Control Device Travel Direction Tribal Govt. Type of Crash Type of Work Zone Vehicle Action Vehicle Travel Direction Vehicle Type Weather Conditions Year
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Filters Within MnCMAT Select the data applicable to the situation of interest. Single or multiple filters may be applied. Each filter provides “AND” logic between filter categories and “OR” logic within each filter
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Active Filter Selection Statistics
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Filters Within MnCMAT Select the data applicable to the situation of interest. Single or multiple filters may be applied. Each filter provides “AND” logic between filter categories and “OR” logic within each filter
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Filters Within MnCMAT OR AND
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Basic MnCMAT Crash Analysis Process
Step 1 Select Area to be Analyzed Step 2 Apply Filtering Criteria Step 3 Generate Output Maps Charts Reports Data Files
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Graphical Outputs
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View of Crash Incidents in Larger Area
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Wide Area Crash Locations with Stacks
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Non-motorized Persons
Were in Douglas County did crash number occur? What can you tell me about the pedestrian?
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Data Exports
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Crash Data Exports as a CSV or Shape File
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Crash Data Exported as a CSV or Shape File
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Charts
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Crash Severity
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Day of Week
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Reports
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Summary Report
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Detail Report
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Crash Type Summary Report
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Driver and Time Summary
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Top 100 Intersections Report
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Top 100 Segments Report
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Crash Severity for Lane Departures Crashes
Case Study No. 1 Crash Severity for Lane Departures Crashes Q. “What is the crash severity for lane departure crashes in the city of Faribault between ?”
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Steps Needed for Case 1 Select Crash Data (circle with red, blue and yellow graphic), then select Crash Filters. Highlight City under Location Filters, then check Faribault. Highlight Crash Year, then check years Highlight Crash Diagram and select crash codes pertaining to Run off Road crashes. (sideswipe passing/opposing, Ran off Road-Left/Right and head on) Click OK. Select Charts, then select Crash Severity under the dropdown menu, then select Add Chart
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Lane Departure Crashes by Severity
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Lane Departure Crashes by Severity
The previous slide illustrates that most crashes between involved property damage followed by possible injury crashes. There was a total of 264 crashes during this time frame.
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Case Study No. 2 Q. “What are the most dominant crash types resulting from chemical impairment in the city of Faribault?”
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Steps Needed for Case 2 Select Crash Data, then select Crash Filters.
Highlight City under Location Filters and then check Faribault. Highlight Vehicle Contrib. Factor 1 and then check Chemical Impairment. Click OK. Select Charts, then select Diagram under the dropdown menu, then select Add Chart
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Crash Diagram (Type) resulting from Chemical Impairment in Faribault
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Crash Diagram (Type) resulting from Chemical Impairment in Faribault
The pie chart on the previous slide illustrates that the three most occurring crashes as a result of chemical impairment are rear end, ran off the road (right side) and sideswipe (passing) There was a total of 56 crashes.
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Case Study No. 3 Q. “What number of reported crashes involve younger (under 21) distracted drivers (cell phone) that ran off the road in Faribault?”
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Steps Needed for Case 3 Select Crash Data, then select Crash Filters.
Highlight City, and then check Faribault. Highlight Driver Age, then check appropriate boxes for Drivers under 21. Highlight Vehicle Contrib. Factor 1, then select Car Phone/Two-Way Radio, then click OK. Select Charts, then select Diagram under the dropdown menu, then select Add Chart.
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Distracted Young Drivers
MnCMAT Version 3.4.0 Online MnCMAT Tool
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Distracted Young Drivers
Reports generated using both MnCMAT programs confirm the details of the two crashes The crash reports indicate that there was one right angle and one rear end crash
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Case Study No. 4 Q. “How many young drivers (<21) were involved in K & A crashes that was a result of disregarding a traffic device within Metro District ?”
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Steps Needed for Case 4 Select Create New Project, then select the Metro District and click OK. Select Crash Data, then select Crash Filters, then select Crash Severity and select the appropriate codes for K & A crashes. Select Driver Age and select the appropriate ages for drivers under 21. Select Vehicle Contrib. Factor 1 and select Disregard Traffic Device, and click OK. Select Charts, then select Crash Severity under the dropdown menu, and then select Add Chart.
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Young (<21) Drivers involved in K & A crashes by Disregarding Traffic Devices in Metro District
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Young (<21) Drivers involved in K & A crashes by Disregarding Traffic Devices in Metro District
The graphs on the previous slide show that there were a total of 140 K & A crashes involving young drivers Of the 140 crashes, 114 crashes (over 80%) were incapacitating accidents
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Summary The proceeding case studies are very basic examples of use of MnCMAT. More complicated reports may be run. Even more complicated reports that require information on data not contained in MnCMAT (for example, seat belt use of non-drivers) would require special reports.
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MnCMAT Distribution Being Supplied by MnDOT – State Aid
No additional software required No Cost to City or County Agencies or Other Entities Approved by a City or County
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Approval Form for Use
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MnCMAT’s Website
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DISCLAIMER The State, County and Municipal Transportation Authorities of Minnesota make no representation or warranties, express or implied, with respect to the reuse of the data provided herewith, regardless of its format or means of its transmission. There is no guarantee or representation to the user as to the accuracy, currentness, suitability, or reliability of this data for any purpose. The user accepts that data “as is”, and assumes all risks associated with its use. The State, County and Municipal Transportation Authorities of Minnesota assume no responsibility, actual or consequential damage, as a result of any user’s reliance of this data. By submitting this form, you are stating that you understand that this application is only a tool and that Engineering Judgment must be used when interpreting all data. You are also agreeing that you understand that the data set used by this program is subject to errors and changes, therefore not to be assumed as absolute. The Minnesota Department of Transportation, State Aid Division maintains all rights to this application and may revoke your privileges of use at any time.
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MnCMAT Support Contact
Mark Vizecky Sulmaan Khan
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Intersection “Green sheets”
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Section
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Top 200 Intersections – per location
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Crash costs – Step 1 Get Minnesota Data
Crashes Fatalities Injury A Injury B Injury C Vehicles Fatal 1,569 1,724 411 555 512 2,730 Severity A 5,674 - 6,636 1,735 1,494 9,991 Severity B 26,975 33,928 6,824 48,788 Severity C 49,894 65,755 96,651 PDO 186,839 340,915 Total 270,950 7,047 36,218 74,585 499,074
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Step 2 – get current year costs from FHWA
GDP Deflator Fatal A injury B Injury C Injury PDO 2003 106.41 $3,065,246 $212,209 $42,442 $22,400 $2,358 2004 109.43 $3,152,240 $218,232 $43,646 $23,036 $2,425 2005 112.74 $3,247,587 $224,833 $44,967 $23,732 $2,498 Step 3 – calculate cost for current year Severity Fatal Costs Injury A Costs Injury B Costs Injury C Costs PDO Costs Sum Costs Crashes Cost per Crash Fatal $5,598,840,847 $92,293,939 $24,956,461 $12,150,974 * $5,728,242,220 1,569 $3,650,887 Severity A $1,491,991,660 $77,994,561 $35,456,161 $1,605,442,382 5,674 $282,947 Severity B $1,525,626,673 $161,937,828 $1,687,564,501 26,975 $62,561 Severity C $1,560,522,001 49,894 $31,277 PDO $851,654,840 186,839 $4,558 *PDO costs are not shown due to incorporation into other crash severities.
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Crash Costs Fatal $3,700,000 $6,800,000 Severity A $280,000 $390,000
Crash Severity Existing Cost New (2008) Cost Fatal $3,700,000 $6,800,000 Severity A $280,000 $390,000 Severity B $63,000 $121,000 Severity C $31,000 $75,000 PDO $4,600 $12,000
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Top 150 Sections – per mile
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Crash Rates Crash Rate = Crash Frequency Exposure/Unit of Time
Determined by dividing observed crash frequency by measure of exposure Crash Frequency Crash Rate = Exposure/Unit of Time
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Crash Rates Rate = Y/X 9 Short Comings: Assumes a linear relationship
Drives prioritization toward low volume routes 6 Frequency (Crashes/Year) 3 Y X 5,000 10,000 15,000 AADT
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Crash Density Rates or Density ? For Intersections For Sections
Density = Crashes For Sections Density = Crashes/Miles Rates or Density ?
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Severity Rates For Intersections For Sections
SR = ((F*5)+(A*4)+(B*3)+(C*2)+(PD)) (EV * Days) Where EV = Entering Vehicles. For Sections (ADT*Length * Days)
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CRASH FACTS – annual report by DPS
Provides a statistical summary Minnesota’s reported crashes
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Fundamentals Book
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Crash Modification Factors (CMFs)
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Books Worth Reading The Drunkard’s Walk Traffic
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Minnesota 141,000 miles of Roadway 900 miles of Interstate
2 900 miles of Interstate 11k miles of Trunk Highway 45k miles of County Road 22k miles of City Streets 62k miles of Township/Other roads 2009 K & A Crashes 421 Fatalities 1,036 Severe Injury Crashes 1 4 3 5 8 7 6
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HSIP Program Challenge to determine where to focus safety funds
Black spots are infrequent on local roads Fatal and Severe injury crashes are random on local roads County Roads 2,089 Severe Crashes 45,000 miles of road 0.05 severe crashes per mile Trunk Highway 2,168 Severe Crashes 12,000 miles of road 0.18 severe crashes per mile
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Surrogates Heart Disease Smoking Obesity Cholesterol Blood pressure
Physical activity Stress Age/sex/heredity
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Surrogates Heart Disease Surrogates for severe crashes? Smoking
Obesity Cholesterol Blood pressure Physical activity Stress Age/sex/heredity Surrogates for severe crashes? Segments, Intersection, Run off Road Crashes…
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Surrogates for Segments
Traffic Volume Density of Road Departure Crashes Curve (Critical Radius) Density Edge Risk Assessment Access Density If surrogate applies to a segment of road
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Surrogates for Curves ADT Range Radius Range Visual Trap on Curve
Intersection on Curve Severe Crash on Curve If surrogate applies to a roadway Curve
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Surrogates for Rural Thru STOP Intersections
Geometry Skewed minor leg approach Intersection on/near horizontal curve Volume Minor ADT/Major ADT ratio Proximity Previous STOP sign Railroad crossing Intersection Related Crashes Commercial Development in quadrants
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Questions?
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