2014 Fiscal Year Final Research Report
Driver risk evaluation using driving signals recorded from in-vehicle network
Project/Area Number |
24500200
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Perception information processing/Intelligent robotics
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Research Institution | Nagoya University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
KITAOKA Norihide 徳島大学, 大学院ソシオテクノサイエンス研究部, 教授 (10333501)
|
Project Period (FY) |
2012-04-01 – 2015-03-31
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Keywords | 運転行動 / 車載ネットワーク / スマートフォン / 危険性評価 |
Outline of Final Research Achievements |
A driving data recording system was developed using an in-vehicle network and a Smartphone. The developed system is more versatile than an instrumented vehicle because it is portable and can be easily used on various types of vehicles. We focused on how driver behavior changes when drivers operate different types of vehicles, and recorded driving data using the developed system. We analyzed the driver behavior characteristics and conducted some comparative experiments using the driving data recorded on different types of vehicles. Although differences in the characteristics of driving signals were observed for the different types of vehicles, consistent individual characteristics were observed for each driver, regardless of the type of vehicle being driven. Some driver risk evaluation methods were also applied to the recorded data. The results showed that drivers displayed consistently safer or less safe driving behavior, regardless of the type of vehicle being driven.
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Free Research Field |
運転行動信号処理
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