Injury estimation for advanced automatic collision notification (AACN) in Germany

This study aimed at developing an injury estimation algorithm for AACN technologies for Germany and compared them to findings based on Japanese data. The data to build and to verify the algorithm was obtained from the German in-depth Accident Database (GIDAS) and split into a training and a validation dataset. Significant input variables and the generalized linear regression model to predict severe injuries (ISS>15) were selected to maximize area under the receiver operating characteristic curve (AUC). Probit regression with the input parameter multiple impact, delta v, seatbelt use and impact direction gave the largest AUC of 0.91. Sensitivity of the algorithm was validated at 90% and specificity at 76% for an injury risk threshold of 2%. It appears that no major differences between Japan and Germany exist for injury estimation based on delta v and impact direction. However, far side impact and multiple crash events appear to be associated with a larger risk increase in the German data. (A)

• Record URL:
  http://bast.opus.hbz-nrw.de/volltexte/2015/1348/pdf/F102_ESAR_komplett_CD.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783956061547
• Authors:
  • Lubbe, N
  • Kiuchi, T
• Publication Date: 2015-3

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: 10p
• Monograph Title: 6. Internationale Konferenz ESAR, „Expertensymposium Accident Research“
• Serial:
  • Berichte der Bundesanstalt fuer Strassenwesen. Unterreihe Fahrzeugtechnik
  • Issue Number: 102
  • Publisher: Fachverlag NW in der Carl Schuenemann Verlag GmbH
  • ISSN: 0943-9293

Subject/Index Terms

• ITRD Terms: 1621: Accident reconstruction; 8525: Conference; 132: Estimation; 8125: Germany; 2163: Injury; 8053: Japan; 1613: Post crash; 132: Prediction; 6588: Regression analysis; 1623: Severity (accid, injury); 1445: Vehicle safety device
• Subject Areas: I84: Personal Injuries; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01572569
• Record Type: Publication
• Source Agency: Bundesanstalt für Straßenwesen (BASt)
• ISBN: 978-3-95606-154-7
• Files: ITRD
• Created Date: Aug 10 2015 11:01AM