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A Method for Modeling of Pedestrian Flow in the Obstacle Space using Laser Range Scanners
http://hdl.handle.net/10445/6607
http://hdl.handle.net/10445/66072862ceaa-4adf-4df2-b108-bdc691097ebd
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
![iwin2011[1].pdf](/static/images/icon/icon_16_pdf.jpg){kind=icon}
iwin2011[1].pdf (1.2 MB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2012-06-07 | |||||
| タイトル | ||||||
| タイトル | A Method for Modeling of Pedestrian Flow in the Obstacle Space using Laser Range Scanners | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
| 資源タイプ | conference paper | |||||
| 著者 |
中村, 嘉隆
× 中村, 嘉隆× Wada, Yusuke× Higashino, Teruo× 高橋, 修 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The measurement of the pedestrians’ movement has high utility, because many efficient services can be provided for pedestrians with the measurement data. There are some techniques to measure pedestrian traffic and especially the method to measure pedestrian traffic with laser range scanners attracts considerable attention recently. However, the lines of sights of the laser range scanners are obscured by obstacles. Therefore, it is difficult to completely capture all the pedestrians’ movement in the target area. In this paper, we propose a method that estimates pedestrian traffic from sectional population density instead of individual pedestrians’ data. Our method also generates pedestrians flow. We have evaluated the proposed method with ideal scenario data. The experimental results have shown that our method could reproduce pedestrian traffic with about 80% accuracy |
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| 書誌情報 |
Proceedings of the International Workshop on Informatics (IWIN2011) p. 54-61, 発行日 2011-09 |
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| 査読有無 | ||||||
| 値 | あり/yes | |||||
| 研究業績種別 | ||||||
| 値 | 国際会議/International Conference | |||||
| 単著共著 | ||||||
| 値 | 共著/joint | |||||
| 著者版フラグ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
