抄録
When natural disasters occur, some roads could be blocked and cannot be used. Road surface conditions also deteriorate. Thus, collecting and providing the information on usable roads and road surface conditions can allow people to be evacuated safely. In this study, we proposed an estimation system of the road surface conditions by collecting accelerometer data from pedestrians' smartphones. The method estimates whether the road surface condition is a flat pavement road, a rough road, a slope or a stair by using supervised machine learning method. From the results of experiment, we found that the system can estimate six types of road surface conditions with a high accuracy when training the model with the data from the users.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | International Conference on Electronics, Information and Communication, ICEIC 2018 |
| 出版社 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 1-3 |
| ページ数 | 3 |
| 巻 | 2018-January |
| ISBN（電子版） | 9781538647547 |
| DOI | |
| 出版ステータス | Published - 2018 4月 2 |
| イベント | 17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States 継続期間: 2018 1月 24 → 2018 1月 27 |
Other
| Other | 17th International Conference on Electronics, Information and Communication, ICEIC 2018 |
|---|---|
| 国/地域 | United States |
| City | Honolulu |
| Period | 18/1/24 → 18/1/27 |
ASJC Scopus subject areas
- 情報システム
- コンピュータ ネットワークおよび通信
- コンピュータ サイエンスの応用
- 信号処理
- 電子工学および電気工学