Injury Prediction Algorithm for AACN Based Japanese Road Accident Data

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  • 日本の交通事故実態を反映したAACN 傷害予測アルゴリズムの研究
  • ニホン ノ コウツウ ジコ ジッタイ オ ハンエイ シタ AACN ショウガイ ヨソク アルゴリズム ノ ケンキュウ

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In this paper, injury prediction algorithm for Advanced Automatic Collision Notification (AACN) based on Japanese traffic accident situation was developed. AACN algorithm was applied to Japanese large accident database by using a logistic regression modeling technique. Risk factors associated with driver’s risk of severe injury were Delta V, crash direction, seat belt use, multiple impact, occupant’s age, vehicle class(Passenger car, Kei car). Cut off value of severe injury risk of AACN algorithm was clarified by using ROC analysis. In addition, In-depth accident data base was applied to AACN algorithm to compare a relation between algorithm output and actual injury results.

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