题名: |
Application of SVM for Simple Diagnosis of Road Surface Roughness Measured by Smartphone |
其他题名: |
1)国土交通省道路局::総点検実施要領案(舗装編),2013.http://www.mlit.go.jp/road/ir/ir-council/pdf/roadstock05.pdf |
正文语种: |
日文 |
作者: |
毅力 果奇 |
关键词: |
Maintenance;Support vector machine (SVM);Standard deviation;Simple Diagnosis;Roughness |
摘要: |
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. |
出版年: |
2018 |
论文唯一标识: |
C-226Y2018V53N04021 |
中文栏目名称: |
交通工学論文集 第4卷 第4号 |
英文栏目名称: |
JSTE Journal of Traffic Engineering Vol.4, No.4 |
论文中文关键词: |
維持管理;サポートベクトルマシーン(SVM);標準偏差;簡易診断;平坦性 |
期刊名称: |
交通工学 |
拼音刊名(出版物代码): |
C-226 |
卷: |
53 |
期: |
04 |
页码: |
75-84 |