Transcript PPT - ANB45
FHWA Data Mining Efforts to Develop Better Insights on Causes and Outcomes of Rollover Crashes Ana Maria Eigen Kenneth S. Opiela Federal Highway Administration Prepared for: TRB ANB45(1) Rollover Subcommittee Meeting Objective To enhance understanding of roadway element data from collected but uncodified information Insights and Precedents NCHRP projects NMVCCS data collection Roadside hardware identification (e.g.17-15,17-22) Proposed codification schemes for finite data set State-of-the art photographic data collection On-scene data collection Office of Safety Roadway Departure Definition Fatality Analysis Reporting System variables and attributes forming FHWA-accepted terminology Rollover contemplated indirectly •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps Problems with Current Data Sets How does the Roadway look? Does the Roadway have effect? On-scene Secondary source Injury causation Vehicle damage Can the composite effect of driver, vehicle, and environment or be disaggregated into a singular effect? FHWA NHTSA •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps Supplementary Data Acquisition National Motor Vehicle Crash Causation Study Fatality Analysis Reporting System 2005 through 2007 (1.5 years weighted data) Case photographs 2001 through 2009, with geographical location Google Earth Images National Automotive Sampling System Crashworthiness Data System Improved images, based upon NMVCCS model •Insights and Precedents Case photographs •Supplementary Data Acquisition •Target publications •Next Steps Relevant Variables and Attributes SAS Query Parameters Yielding Crashes FARS, NMVCCS, NASS CDS Vehicle Body Type Passenger Car Sport Utility Vehicle Van (mini, commercial) Pick up Truck FARS Relevant Object Impact Attenuator Guardrail Face Concrete Barrier Other Traffic Barrier Guardrail End Cable Barrier FARS Secondary Location Comparison TWAY_ID TWAY_ID2 MILEPT FARS Geographical Location Longitude Latitude NMVCCS NASS CDS Relevant Object Concrete Traffic Barrier Impact Attenuator Other traffic barrier (includes guardrail) 2008 - onward Metal guardrail Cable guardrail •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps Summary of Data, by Availability Crash Basic Data Type Data Elements Codified Unavailable Uncodified Basic Vehicle Data Basic Occupant Demography Precise vehicle General Vehicle Contacts trajectory Geographical Location Specific Type of Element Roadway, Roadside Description Geographical Location given for FARS, providing Google Earth Coordinates NASS CDS and NMVCCS provide scene photographs •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps Relevant Data Sets Potential Crashes for Review Rollover among Relevant Cases Relevant Vehicles to Total 2005-2007 126,384 (439) 26% (20%) 3.1% NASS CDS 2005-2009 1,542,633 (848) 16% (20%) 7.6% FARS 2001-2009 794 45% 0.2% Dataset NMVCCS Years Relevant: First Event, Barrier Impact Relevant Vehicles •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps Improved NMVCCS Photography Example 1 Improved coding and photographic substantiation with regard to paint transfer and vehicle interactions with barrier Example 2 Supplemental detail to coding with regard to barrier type & installation features (e.g., height) “The Role of a National Motor Vehicle Crash Causation Study-Style Dataset in Analysis of Rollover Crashes “ (Eigen, 2010) •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps FARS Coded Data, Google Earth Image? Vehicle Event 1 2 3 4 5 6 LATITUDE +46.0647 LONGITUDE -112.773 5 Attribute Guardrail Face Jackknife* Bridge Rail Overturn Veh Airborne Ditch** 1 4 3 2* ? Ford F-Series Pickup Rollover Crash Vehicle Fatalities, 2 Note: *Jackknife may be inconsistent with pick up truck design. **Ditch may be embankment. •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps NASS CDS Data LATITUDE Unpublished LONGITUDE Unpublished Vehicle Event Attribute Other Traffic 1 Barrier Other Traffic 2 Barrier 3 Rollover, 1 qt Area of Damage Front Left Left ` Ford Fusion Vehicle Fatalities, 0 (AIS 1,7) Climb-over •Insights and Precedents •Supplementary Data Acquisition •Target publications NMVCCS Data LATITUDE Unpublished LONGITUDE Unpublished Occupant: 15 months - 79 (4 occupants) Outcome: Uninjured General Crash Data Occupant: 15 months - 79 YO (4 occupants) Outcome: Uninjured Parameter Attribute Color Dark Green Events 2 Pre Impact Events Lane departureright side Lane return- right side Roadway departure- left side Estimated Distance of Rollover 5m •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps Possible Relationships of Selected NMVCCS Variables to External Data Roadway Crash Environment Selected Variables Posted Speed Limit AASHTO-Applied Roadway Deficiency functional class qualitative relationship to design issues such as radius of curvature Surface Type Skid resistance FHWA-Compiled Other test speeds roadway design public roadway inventory roadway design Roadway design Manual for Assessing Safety roadside Object Hardware, pending rollover criteria environment Roadside Design Guide, pending roadside Location rollover criteria environment Note: Those relationships contemplated in this study denoted in bold. Prospective relationships for future study in Italics. Rollover Specific Relation to Junction •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps Next Steps for Data Collection Identify remaining 2001 through 2005 FARS crashes Compile photographic supplemental data set using •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps FARS 2001 through 2009 data NMVCCS 2005 through 2007 NASS CDS 2005 through 2009, properly photographed Make data available to interested parties Potential Benefits to Safety Community? Improved understanding of Rollover Crashes Added specificity to the Roadway Departure Definition Increased codified data drawn from compilation precedent Emphasized synergies drawn from continued Interagency cooperation •Insights and Precedents •Supplementary Data Acquisition •Target publications •Next Steps Thank you for your attention Contact Information: Kenneth S. Opiela [email protected] Ana Maria Eigen [email protected]