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  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

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

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

Relevant Variables and Attributes Insights and Precedents Supplementary Data Acquisition Target publications Next Steps SAS Query Parameters Yielding Crashes NMVCCS NASS CDS Relevant Object Concrete Traffic Barrier Impact Attenuator Other traffic barrier (includes guardrail) onward Metal guardrail Cable guardrail

Summary of Data, by Availability Insights and Precedents Supplementary Data Acquisition Target publications Next Steps Data Type Data Elements CodifiedUnavailableUncodified Basic Basic Vehicle Data Basic Occupant Demography Crash General Vehicle Contacts Precise vehicle trajectory Specific Type of Element Geographical Location Roadway, Roadside Description  Geographical Location given for FARS, providing Google Earth Coordinates  NASS CDS and NMVCCS provide scene photographs

Relevant Data Sets Potential Crashes for Review DatasetYears Relevant Vehicles Rollover among Relevant Cases Relevant Vehicles to Total NMVCCS ,384 (439) 26% (20%)3.1% NASS CDS ,542,633 (848) 16% (20%)7.6% FARS %0.2% Insights and Precedents Supplementary Data Acquisition Target publications Next Steps Relevant: First Event, Barrier Impact

Improved NMVCCS Photography 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) Example 1Example 2

FARS Coded Data, Google Earth Image? LATITUDE LONGITUDE Vehicle EventAttribute 1Guardrail Face 2Jackknife* 3Bridge Rail 4Overturn 5Veh Airborne 6Ditch** Ford F-Series Pickup Rollover Crash Vehicle Fatalities, 2 Insights and Precedents Supplementary Data Acquisition Target publications Next Steps 5 2* 4 6 * * ? Note: *Jackknife may be inconsistent with pick up truck design. **Ditch may be embankment.

NASS CDS Data Ford Fusion Vehicle Fatalities, 0 (AIS 1,7) Climb-over Vehicle EventAttribute Area of Damage 1 Other Traffic BarrierFront 2 Other Traffic BarrierLeft 3Rollover, 1 qtLeft LATITUDEUnpublished LONGITUDEUnpublished ` Insights and Precedents Supplementary Data Acquisition Target publications Next Steps

NMVCCS Data General Crash Data Occupant: 15 months - 79 YO (4 occupants) Outcome: Uninjured ParameterAttribute ColorDark Green Events2 Pre Impact Events Lane departure- right side Lane return- right side Roadway departure- left side Estimated Distance of Rollover 5 m Occupant: 15 months - 79 (4 occupants) Outcome: Uninjured LATITUDEUnpublished LONGITUDEUnpublished Insights and Precedents Supplementary Data Acquisition Target publications Next Steps

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

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 Ana Maria Eigen

NMVCCS Variable and Potential Applicability in Roadway Studies Insights and Precedents Supplementary Data Acquisition Target publications Next Steps

NMVCCS Variable and Potential Applicability in Roadway Studies Insights and Precedents Supplementary Data Acquisition Target publications Next Steps

NMVCCS Variable and Potential Applicability in Roadway Studies Insights and Precedents Supplementary Data Acquisition Target publications Next Steps

Planned Efforts Review Precedents related to Rollover Data Assess Rollover Cases Perform Supplementary Data Acquisition Prepare Publications