Application of SVM for Simple Diagnosis of Road Surface Roughness Measured by Smartphone
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- Yiliguoqi
- Mechanical and Civil Engineering Division, Gifu University
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- Arong
- Information Management Core, Gifu University
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- MURAKAMI Shigeyuki
- Information Management Core, Gifu University
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- SASAKI Hiroshi
- Fujitsu Traffic & Road Data Service Limited
Bibliographic Information
- Other Title
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- スマートフォンによる舗装路面の平坦性の簡易診断におけるSVMの適用可能性について
- スマートフォン ニ ヨル ホソウ ロメン ノ ヘイタンセイ ノ カンイ シンダン ニ オケル SVM ノ テキヨウ カノウセイ ニ ツイテ
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Abstract
Recently, acceleration sensors / gyro sensor and so on have been embedded in smartphones and be-come popular. We can gather various kinds of information simply and on a massive scale by using such familiar information device. Therefore, in this study, we focus on acceleration data gathered by smartphone embedded sensors. Analysis the acceleration / angular velocity data by statistical processing to restrain the influence of measuring condition and extract features. Then, we propose a simple assessment method that utilizes features and using a Support Vector Machine (SVM) to classify the road surface roughness. Moreover, confirms the effectiveness of the proposed method.
Journal
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- JSTE Journal of Traffic Engineering
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JSTE Journal of Traffic Engineering 4 (4), 1-10, 2018-07-01
Japan Society of Traffic Engineers
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Details 詳細情報について
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- CRID
- 1390564237994246016
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- NII Article ID
- 130007387408
- 40021703265
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- NII Book ID
- AN00084143
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- ISSN
- 04544595
- 21872929
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- NDL BIB ID
- 029305540
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- Crossref
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- Abstract License Flag
- Disallowed