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A methodology to evaluate injury risk and accident conditions from injuries in vehicle-to-pedestrian accidents

Francisco, Paulo ; Ferreira, Ana ; Portal, Ricardo ; Dias, Joao M. P.

Originalveröffentlichung: (2015) 6th International Conference on ESAR 2014
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Dokument 1.pdf (393 KB)

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Freie Schlagwörter (Deutsch): Biomechanik , Deutschland , Fahrzeug , Fußgänger , Konferenz , Portugal , Risiko , Schweregrad (Unfall, Verletzung) , Tödlicher Unfall , Unfall , Unfallrekonstruktion , Verletzung
Freie Schlagwörter (Englisch): Accident , Accident reconstruction ,Biomechanics , Conference , Fatality , Germany , Injury , Pedestrian , Portugal , Risk , Severity (accid, injury) , Vehicle
Collection 1: BASt-Beiträge / ITRD Sachgebiete / 80 Unfallforschung
Collection 2: BASt-Beiträge / Tagungen / International Conference on ESAR / 6th International Conference on ESAR
Collection 3: BASt-Beiträge / ITRD Sachgebiete / 84 Personenschäden
Institut: Sonstige
DDC-Sachgruppe: Soziale Probleme, Sozialarbeit
Sonstige beteiligte Institution: Instituto de Engenharia Mecânica (Lissabon)
Dokumentart: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Sprache: Englisch
Erstellungsjahr: 2015
Publikationsdatum: 05.08.2015
Kurzfassung auf Englisch: Pedestrians represent about 20% of the overall fatalities in Europe’s road traffic accidents. In this paper a methodology is proposed to understand why the numbers are so high, especially in the south of Europe and particularly in Portugal, . First a detailed statistical analysis using Ordinal Logistic Regression model (OLR) was applied to the gathered data from all Portuguese accidents with victims in the period 2010-2012. In a second stage accident reconstruction computational techniques using pedestrian biomechanical models are used to evaluate the accident conditions that lead to the injuries, such as the speed and the impact location. For biomechanical injury criterions, the AIS (Abbreviated Injury Scale), the HIC (Head Injury Criterion) and other injury criterions based on the resulting accelerations in the pedestrian's body are used. The statistical model reported that there were several predictors that significantly influenced the pedestrian injury severity in the event of a road accident, such as Pedestrian's age, Pedestrian's gender, Vehicle Design/Category or Driver's gender. The use of injury scales and biomechanical criterions in in-depth investigation of road accidents, such as AIS, can significantly improve the quality of the reconstruction process.