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Summary & Details

Identification of Driving Pattern by Clustering Analysis

Cluster手法を用いた自動車運転行動分析

Delivery: Available on this site

Format: PDF

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

Publication code: 20215169

Paper/Info type: Proceedings (Spring)

No.39-21

Pages: 1-8(Total 8 p)

Date of publication: May 2021

Publisher: JSAE

Language: English

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

Detailed Information

Author(E)	1) Chinmoy Pal, 2) Arghya Jana, 3) Koichi Ota, 4) Seiichiro Hirakawa, 5) Shigeru Hirayama
Affiliation(E)	1) Nissan Motor, 2) Renault Nissan Technology Business Centre, 3) Nissan Motor, 4) Nissan Motor, 5) Nissan Motor
Abstract(J)	車CAN信号から運転行動に関わるデータ（加速度、ブレーキ、アクセル、舵角、GPS等）と周辺環境（車、交通弱者）を同時記録する実車運転行動分析可なシステムを作成した。運転行動データをいくつかの基準featureの基にまずCluster分析（同定）を行った。その同定したモデルを用いて任意の運転行動（安全運転の度合）を精度よく区別できることを確認できた。 Translation
Abstract(E)	With the vision of developing such an adaptive and consumer-specific future insurance system, one needs to verify the logic by which one should be able to distinguish good and bad driving patterns based on everyday driving data. This study focusses on clustering analysis of drivers’ driving patterns to develop accurate driving pattern criteria as one of the initial steps to build such a user-specific system in the future.

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