Minnesota Crash Mapping Analysis Tool (MnCMAT) & Crash Data Brad Estochen State Traffic Safety Engineer Minnesota Department of Transportation 2012 Traffic Records Forum Biloxi, MS October 2012
Brief History of MnCMAT Developed in Iowa late 1990 s early 2000 s Iowa DOT & CTRE @ 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)
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
Basics of MnCMAT Program MnCMAT GIS Based Mapping System MnDOT Mainframe Data Transportation Information System (T.I.S.) Location Crash Type Road Condition Driver Data XXXXXX XXXXXX XXXXXX XXXXXX T.I.S. Data is Generated from Law Enforcement and Citizen Crash Reports
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
Basic MnCMAT Crash Analysis Process Step 1 Select Area to be Analyzed
MnCMAT Data Covers Entire State Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
State Wide Selection
MnCMAT Data Covers Entire State Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
Single County Selection
Multiple County Selection
County Selection
MnCMAT Toolbars
MnCMAT Data Covers Entire State Primary Selection by County, District, Tribal Government, or State Multiple Secondary Selection Methods Rectangle Polygon Circle Roadway Segments
Selection Methods
Select Location with Find Location Selection County City Intersection Crash Number XY Coordinate
Crash Data Using Stacks
Basic MnCMAT Crash Analysis Process Step 1 Select Area to be Analyzed Step 2 Apply Filtering Criteria
Filter Selection
Filter Categories City Contributing Factor 1 Contributing Factor 2 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
Active Filter Selection Statistics
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
Filters Within MnCMAT OR AND
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
Graphical Outputs
View of Crash Incidents in Larger Area
Wide Area Crash Locations with Stacks
Data Exports
Crash Data Exports as a CSV or Shape File
Crash Data Exported as a CSV or Shape File
Charts
Crash Severity
Day of Week
Reports
Summary Report
Detail Report
Crash Type Summary Report
Driver and Time Summary
Top 100 Intersections Report
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
Approval Form for Use
MnCMAT s Website
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.
Minnesota 2 141,000 miles of Roadway 900 miles of Interstate 1 11k miles of Trunk Highway 45k miles of County Road 4 3 22k miles of City Streets 62k miles of Township/Other roads 8 7 5 6 2011 Killed and Seriously Injured 368 Fatalities (334 crashes) 1,159 Severe Injuries (954 crashes)
Wright County All Crashes
Wright County Fatal and Serious Crashes
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
Surrogates Heart Disease Smoking Obesity Cholesterol Blood pressure Physical activity Stress Age/sex/heredity Surrogates for severe crashes? Segments, Intersection, Run off Road Crashes
Rural Thru STOP Intersection Risk Rating Criteria Characteristics 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
Rural Horizontal Curve Risk Rating Criteria Curve Radius (all ATPs) 18% 16% 16% Characteristics 14% 13% 12% Curve Radius Traffic Volume Intersection Visual Trap Severe Crash Percentage 11% 11% 10% 10% 9% 8% 8% 7% 6% 6% 4% 4% 4% 4% 4% 3% 4% 2% 6% 5% 0% 0% 8% 7% 6% 6% 4% 4% 4% 4% 4% 4% 3% 2% 1% 1% 3% 2% 2% 2% 0% 2% 2% 1% 1% 0% Radius (ft) # Curves (11445 total) Severe RD (219 total)
Rural Road Segment Risk Rating Criteria Characteristics Traffic Volume Access Density Edge Risk Assessment Curve Density Crash Density (786 crashes)
Rural Road Segment Risk Rating Criteria (Part 2) Edge Risk Assessment 1 Usable Shoulder, Reasonable Clear Zone 2 -No Usable Shoulder but Reasonable Clear Zone 2 Usable Shoulder but Roadside with Fixed Obstacles 3 No Usable Shoulder, Roadside with Fixed Obstacles
Do the Rating Criteria Really Identify At-Risk Locations? Curve Risk Criteria Intersection Risk Criteria Crashes per Intersection 0.12 0.10 0.08 0.06 0.04 0.02 0.07 0.10 0.06 0.07 0.08 0.08 0.06 0.06 Risk factor was present Risk factor was not present 0.09 0.06 0.00 RR Crosing Development Skew On/Near Curve Greater than 5 mi. to Previous Stop Phase I and II Curves 3,990 curves included in analysis of each risk factor. Minimum of 1,500 curves and 76 severe crashes in each category Phase I and II - 5,725 intersections included in analysis of each risk factor. Minimum of 150 intersections and 16 severe crashes in each category
Rural Thru-STOP/YIELD Intersections Maximum of 7 s 10,082 Intersections evaluated
Rural Thru-STOP/YIELD Intersections Maximum of 7 s 10,082 Intersections evaluated 2,893 high priority 29%
Rural Paved Roadways Maximum of 5 s 21,451 miles evaluated
Rural Paved Roadways Maximum of 5 s 21,451 miles evaluated 8,177 miles High Priority 38% of all evaluated
Rural Paved Horizontal Curves Maximum of 5 s 16,522 curves evaluated
Rural Paved Horizontal Curves Maximum of 5 s 16,522 curves evaluated 2,744 curves High Priority 17% of all evaluated
Low Cost High Benefit Systemic Approach to Safety Deploy at locations having multiple risk factors Risk factor does not equal cause Safety Program Reacting to high crash locations Preventing crashes from occurring
Traffic Volume Program Estimates volumes at 33,000 locations 4,500 Trunk Highways 13,500 County State Aid Highway 6,500 County Roads 8,500 Municipal State Aid Streets
Data Collection Methods 32,500+ Short Counts 1,200+ Vehicle Classification sites 70+ Automatic Traffic Recorders 15+ Weigh In Motion systems 240+ Continuous counting sites
Data Collection Most of data collected by MnDOT staff Some cities/counties collect data (metro) Collection cycles 2 years for Trunk Highways 4 years for County Roads MnDOT stores and adjusts data
Questions?