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Summary & Details

Development of Injury Prediction Algorithm Version 2021 Based on Vehicle Types

車両クラス別傷害予測アルゴリズムVersion 2021の構築

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20215352

Paper/Info type: Proceedings (Spring)

No.78-21

Pages: 1-7(Total 7 p)

Date of publication: May 2021

Publisher: JSAE

Language: Japanese

Event: 2021 JSAE Annual Congress (Spring)[Online Meeting]

Detailed Information

Author(J)	1) 西本哲也, 2) 望月涼太, 3) 富永茂, 4) 三好朋之, 5) 長岡靖, 6) 白川正幸
Author(E)	1) Tetsuya Nishimoto, 2) Ryota Mochizuki, 3) Shigeru Tominaga, 4) Tomoyuki Miyoshi, 5) Yasushi Nagaoka, 6) Masayuki Shirakawa
Affiliation(J)	1) 日本大学, 2) 日本大学, 3) 日本大学, 4) トヨタ自動車, 5) トヨタ自動車, 6) トヨタ自動車
Affiliation(E)	1) Nihon University, 2) Nihon University, 3) Nihon University, 4) Toyota Motor, 5) Toyota Motor, 6) Toyota Motor
Abstract(J)	本研究では，交通事故総合分析センターのデータベースからマクロデータ解析を実施し車両クラス別乗車位置別衝突部位別のモデルを構築した．構築した結果，車両クラス別のリスク差が表れており，これによりAACN導入時には大型車両でのオーバートリアージの減少，中型や小型車両でのアンダートリアージの防止が期待できた． Translation
Abstract(E)	Japanese advanced automatic collision notification (AACN) called D-Call Net uses injury prediction algorithm Ver.2015 that was developed by Toyota and Nihon University. The purpose of this study was to indicate the effect of injury prediction algorithm Ver.2021 based on vehicle types such as large, medium and small-sized vehicles. The results show the algorithm useful protection of under and over triages.

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