YKOB: 参加型センシング志向の自転車とスマートフォン端末を用いた道路路面状態の調査

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2017/04/01

タイトル(英語): YKOB: Participatory Sensing based Road Condition Monitoring using Smartphones worn by Cyclist

著者名: 高橋　淳二（青山学院大学），小花　祐輔（青山学院大学），磯山　直也（青山学院大学），戸辺　義人（青山学院大学），ロペズ　ギヨーム（青山学院大学）

著者名(英語): Junji Takahashi (Aoyama Gakuin University), Yusuke Kobana (Aoyama Gakuin University), Naoya Isoyama (Aoyama Gakuin University), Yoshito Tobe (Aoyama Gakuin University), Guillaume Lopez (Aoyama Gakuin University)

キーワード: 独立成分分析，実信号マザーウェーブレット，参加型センシング，社会基盤メンテナンス　　Independent component analysis，real mother wavelet，participatory sensing，maintenance of social-infrastructure

要約(英語): We propose a novel road monitoring system named YKOB (Your Kinetic Observation Bike) based on participatory sensing. YKOB collects acceleration signals using smartphones worn by cyclists, and analyzes the collected signals to investigate road surface condition. When a bicycle passes on a bump or a dimple, its wheels vibrate. The vibrations are transmitted to the smartphone via the bicycle frame or the cyclist body, and registered as acceleration signals. Conversely, by analyzing the acceleration signals we can estimate the road surface condition. There are mainly two research issues in this system. The first issue is that the acceleration registered at the smartphone includes cyclist motion signal as well as road surface signal. The second issue is that it is necessary to distinguish abnormality of road surface from artificial differences in level, such as a difference between streets and sidewalks. We developed a signal separation algorithm based on Independent Component Analysis (ICA) to solve the first issue. We also developed a bump classification algorithm using Real Mother Wavelet (RMW). These two proposed algorithms were evaluated with 640 trials in total of experimental data conducted by eight cyclists. The classification accuracy of 0.68 validates the simultaneous utilization of our proposed algorithms.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.137 No.4 （2017） 特集：量子・情報・エレクトロニクス医療応用

本誌掲載ページ: 658-666 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/137/4/137_658/_article/-char/ja/