A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment
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- 本サイト上にてダウンロード・閲覧可
- 形態
- 価格
- 一般価格(税込)：￥1,100 会員価格(税込)：￥880
- 文献番号
- 20219011
- 文献・情報種別
- その他の国際会議
- 掲載ページ
- 1-6(Total 6 p)
- 発行年月
- 2021年 9月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
書誌事項
| 著者（英） | 1) Avinash Prabu, 2) Dan Shen, 3) Renran Tian, 4) Stanley Chien, 5) Lingxi Li, 6) Yaobin Chen, 7) Rini Sherony |
|---|---|
| 勤務先（英） | 1) Transportation & Autonomous Systems Institute, 2) Transportation & Autonomous Systems Institute, 3) Transportation & Autonomous Systems Institute, 4) Transportation & Autonomous Systems Institute, 5) Transportation & Autonomous Systems Institute, 6) Transportation & Autonomous Systems Institute, 7) Collaborative Safety Research Center;Toyota Motor North America |
| 抄録（英） | As one of the most popular micro-mobility options, e-scooters are spreading in hundreds of big cities and college towns in the US and worldwide. In the meantime, e-scooters are also posing new challenges to traffic safety. In general, e-scooters are suggested to be ridden in bike lanes/sidewalks or share the road with cars at the maximum speed of about 15- 20 mph, which is more flexible and much faster than the pedestrians and bicyclists. These features make e-scooters challenging for human drivers, pedestrians, vehicle active safety modules, and self-driving modules to see and interact with. To study this new mobility option and address e-scooter riders' and other road users' safety concerns, this paper proposes a wearable data collection system for investigating the micro-level e-scooter motion behavior in a naturalistic road environment. An e-scooterbased data acquisition system has been developed by integrating LiDAR, cameras, and GPS using the robot operating system (ROS). Software frameworks are designed to support hardware interfaces, sensor operation, sensor synchronization, and data saving. The integrated system can collect data continuously for hours, meeting all the requirements, including calibration accuracy and reconstructing the vehicle and e-scooter encountering scenes. 翻訳 |
