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FHWA Data Mining Efforts to Develop Better Insights on Causes and Outcomes of Rollover Crashes

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.

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FHWA Data Mining Efforts to Develop Better Insights on Causes and Outcomes of Rollover Crashes

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  1. 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

  2. Objective To enhance understanding of roadway element data from collected but uncodified information

  3. Insights and Precedents • NCHRP projects • Roadside hardware identification (e.g.17-15,17-22) • Proposed codification schemes for finite data set • NMVCCS data collection • 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

  4. Problems with Current Data Sets • How does the Roadway look? • On-scene • Secondary source • Does the Roadway have effect? • 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

  5. Supplementary Data Acquisition • National Motor Vehicle Crash Causation Study • 2005 through 2007 (1.5 years weighted data) • Case photographs • Fatality Analysis Reporting System • 2001 through 2009, with geographical location • Google Earth Images • National Automotive Sampling System Crashworthiness Data System • Improved images, based upon NMVCCS model • Case photographs • Insights and Precedents • Supplementary Data Acquisition • Target publications • Next Steps

  6. Relevant Variables and Attributes SAS Query Parameters Yielding Crashes • Insights and Precedents • Supplementary Data Acquisition • Target publications • Next Steps

  7. Summary of Data, by Availability • 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

  8. Relevant Data Sets • Insights and Precedents • Supplementary Data Acquisition • Target publications • Next Steps Relevant: First Event, Barrier Impact

  9. Improved NMVCCS Photography Example 1 Example 2 Improved coding and photographic substantiation with regard to paint transfer and vehicle interactions with barrier Supplemental detail to coding with regard to barrier type & installation features (e.g., height) • Insights and Precedents • Supplementary Data Acquisition • Target publications • Next Steps “The Role of a National Motor Vehicle Crash Causation Study-Style Dataset in Analysis of Rollover Crashes “ (Eigen, 2010)

  10. FARS Coded Data, Google Earth Image? LATITUDE +46.0647 LONGITUDE -112.773 ? 5 6** 1 4 3 ? Ford F-Series Pickup Rollover Crash Vehicle Fatalities, 2 2* • Insights and Precedents • Supplementary Data Acquisition • Target publications • Next Steps Note: *Jackknife may be inconsistent with pick up truck design. **Ditch may be embankment.

  11. NASS CDS Data LATITUDE Unpublished LONGITUDE Unpublished ` Ford Fusion Vehicle Fatalities, 0 (AIS 1,7) Climb-over • Insights and Precedents • Supplementary Data Acquisition • Target publications • Next Steps

  12. NMVCCS Data LATITUDE Unpublished LONGITUDE Unpublished Occupant: 15 months - 79 (4 occupants) Outcome: Uninjured • Insights and Precedents • Supplementary Data Acquisition • Target publications • Next Steps

  13. Possible Relationships of Selected NMVCCS Variables to External Data • Insights and Precedents • Supplementary Data Acquisition • Target publications • Next Steps

  14. 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 • FARS 2001 through 2009 data • NMVCCS 2005 through 2007 • NASS CDS 2005 through 2009, properly photographed • Make data available to interested parties

  15. 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

  16. Thank you for your attention Contact Information: Kenneth S. Opiela Kenneth.Opiela@fhwa.dot.gov Ana Maria Eigen Ana.Eigen@dot.gov

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