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MMIRE Webconference. Tuesday, March 3, 2009 1:00 p.m. – 2:30 p.m. For audio: 888-323-9689 Passcode: 3268507. Webconference Agenda. Participation Information. Phone lines will be muted (*1 to un-mute) You can submit questions/comments electronically Handouts for use during
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MMIRE Webconference Tuesday, March 3, 2009 1:00 p.m. – 2:30 p.m. For audio: 888-323-9689 Passcode: 3268507
Participation Information • Phone lines will be muted (*1 to un-mute) • You can submit questions/comments electronically • Handouts for use during discussion portion
Purpose of Webconference • Present MMIRE Concept • Discuss Uses of MMIRE • Obtain Feedback on Interchange and Ramp Variables • Importance to your efforts • Difficulty to collect • How you’ve been able to collect variables that others have not
MMIRE Concept • Standardized Definitions…But Not a Standard • Dictionary of critical roadway data variables that are required to make more effective and efficient safety improvement decisions • Similar to Model Minimum Uniform Crash Criteria (MMUCC), MMIRE will be a guideline, not a requirement
MMIRE Development Effort • AASHTO Strategic Highway Safety Plan • Management: improve information and decision support systems • International Scan • White Paper
Overview of Broad Strategies • Increase support for safety programs and safety information systems • Define “good inventory data” and move toward the use of performance measures • Make it easier to collect, store, and use all types of safety data • Increase the use of safety analysis tools • Link safety data to non-safety data
Proposed MMIRE Variables • Documents development process and includes working matrix • 180 data elements • www.mmire.org
Structure of MMIRE I. Roadway Segment Descriptors I.a. Segment Location/Linkage Variables I.b. Segment Roadway Classification I.c. Segment Cross Section I.c.1. Surface Descriptors I.c.2. Lane Descriptors I.c.3. Shoulder Descriptors I.c.4. Median Descriptors
Structure of MMIRE (cont) I. Roadway Segment Descriptors (cont) I.d. Roadside Descriptors I.e. Other Segment Descriptors I.f. Segment Traffic Flow Data I.g. Segment Traffic Operations/Control Data II. Segment Alignment II.a. Horizontal Curve Data II.b. Vertical Grade Data
Structure of MMIRE (cont) III. Road Junctions III.a. At-Grade Intersection/Junctions III.a.1. At-Grade Intersection/Junction General Descriptors III.a.2. At-Grade Intersection/Junction Descriptors (Each Approach) III.b. Interchange and Ramp Descriptors III.b.1. General Interchange Descriptors III.b.2. Interchange Ramp Descriptors
What MMIRE Could Help You Do • Use the New Safety Tools • Interactive Highway Safety Design Model (IHSDM) • Tools for designers, planners and safety engineers to compare alternative roadway designs and safety treatments • SafetyAnalyst • Advanced tools to identify most promising locations for treatment and choose the best treatment
What MMIRE Could Help You Do Use the New Safety Tools (cont) Highway Safety Manual AASHTO will publish first edition in late 2009 Compilation of current safety knowledge and safety prediction tools for two-lane rural roads, rural multilane roads, and urban/suburban arterials. Other road-class tools to be added in future editions
What MMIRE Could Help You Do Enhanced Problem Identification These examples require inventory files containing full population of roadway elements (e.g., segments, intersections, curves, ramps) -- cannot be done with just crash data as done today E.g., better selection of high-priority intersections by comparison of crash rate within intersection categories (e.g., within all signalized intersections with entering volumes between X and Y)
What MMIRE Could Help You Do Enhanced Problem Identification (cont) Selection of urban signalized intersections with highest number of pedestrian crashes in the jurisdiction (or highest ped crash rate per entering vehicle or pedestrian) Selection of high-priority horizontal curves by crash rate within roadway class (e.g., most hazardous curves on two-lane rural roads)
What MMIRE Could Help You Do Enhanced Problem Identification (cont) Selection of roadway corridors on urban interstates with highest large-truck crash rates Identification of interchange ramps with highest large-truck crash rates Any other identification/selection within specified type of roadway element
What MMIRE Could Help You Do Enhanced Targeting of Specific Treatments Selection of all horizontal curves on two-lane rural roads with speed limit of 55 and degree of curve greater than 10 degrees for low cost treatment (e.g., chevrons or advanced pavement markings) Selection of locations where raised pavement markers are most likely to reduce crashes (i.e., rural two-lane roads with AADT > 15,000 vpd and degree of curve < 3.5 deg and four-lane freeways with AADT > 60,000 vpd – NCHRP Report 518)
Current Effort • Compare Proposed Elements and Attributes to: • Other databases • Variables states are already collecting • Lead State Program to Pilot the Implementation of MMIRE • Refine Elements and Attributes: MMIRE Version 1.0
Today’s Topics… III.B. Interchange and Ramp Descriptors
Organization of Discussion Our Goal Present proposed items to you Feedback from you on importance of each element re your safety programs/decisions Feedback from you on what will be difficult to collect Possible solutions from you We then look for lead states who have collected them FHWA looks for new methods to collect
Organization of Discussion (cont) MMIRE Variables Collected by State DOTs Compared MMIRE elements to inventory databases in 24 states For the 19 interchange and ramp variables, each is collected by 4 states at most Thus, we encourage discussion of any of the interchange and ramp variables
Remainder of Discussion… We will present interchange-related MMIRE elements For each group, you provide two “votes” “Which elements are very important to your safety program/decisions?” “Which elements will be very difficult to collect?” (You can vote for more than one each time) Those with highest importance and difficulty will be discussed first (i.e., Do any of you collect them and if so, how?) Remainder will be discussed if time allows
“Interchanges” in MMIRE Definition: general type of interchange Attributes: • Diamond • Single-point diamond • Tight diamond • Split diamond • Slip ramps with frontage roads to/from crossroad • Full cloverleaf • Full cloverleaf w/ CD Roads • Partial cloverleaf A • Partial cloverleaf A (2-Quad) • Partial cloverleaf B • Partial cloverleaf B (2-Quad) • Partial cloverleaf AB • Trumpet • Three-leg directional • Four-leg all-directional • Four-leg directional with loop ramps • Single entrances and/or exits (partial interchange) • SPUI • Other
Interchange Element Discussion III.B. Interchange and Ramp Descriptors III.B.1. General Interchange Descriptors 162. Unique Interchange Identifier 163. Location Identifier for Road 1 Crossing Point 164. Location Identifier for Road 2 Crossing Point 165. Location Identifier for Road 3, 4, etc., Crossing Point (e.g., Route-Milepost), 166. Interchange Type (diamond, clover, etc.) 167. Interchange Lighting
Intersection Element Discussion III.B.2. INTERCHANGE RAMP DESCRIPTORS 168. Unique Ramp Identifier 169. Ramp Length 170. Ramp No. of Lanes 171. Ramp AADT 172. Ramp Posted Speed Limit
Intersection Element Discussion III.B.2. INTERCHANGE RAMP DESCRIPTORS (cont.) 173.Feature at Beginning Ramp Terminal 174. Ramp Descriptor at Beginning Ramp Terminal 175. Location Identifier for Roadway at Beginning Ramp Terminal 176. Roadway Traffic Flow Direction at Beginning Ramp Terminal 177. Feature at Ending Ramp Terminal 178. Ramp Descriptor at Ending Ramp Terminal 179. Location Identifier for Roadway at Ending Ramp Terminal 180. Roadway Traffic Flow Direction at Ending Ramp Terminal
Questions/Suggestions? • Variables that should be added? • Attributes (codes) that should be modified? • Questions on MMIRE related policies or funding? • Other?
Next Steps • Next Webconference – April 7, 1:00 PM EST • Discussion of MMIRE Elements That Are Difficult to Collect • Discussion of Latest Data Collection Technology (e.g., Digital Highway Measurement System) • Future Elements to Include in MMIRE as Data Collection Technology Advances • Lead State Program • Final Report: Summer 2010
MMIRE Website www.mmire.org • Presentation from this webconference • Discussion forums • FAQs • For additional information, contact: • Carol Tan: carol.tan@dot.gov • Bob Pollack: robert.pollack@dot.gov