プロジェクト情報（概要） / Project information (abstract)
基本情報 / Basic Informations
- 研究題目
Research Title Human mobility prediction based on turn-by-turn trajectories
- 状態
Status -
完了
Completed projects
- 研究番号
Research Number - 666
- 研究代表者
PI - Fernando Terroso-Saenz / University of Murcia
- 事務担当者
Secretary - Fernando Terroso-Saenz / University of Murcia
- 受入CSIS教員
CSIS reception staff 瀬崎 薫
Kaoru SEZAKI
- 研究内容
Abstract Personal route prediction has emerged as an important topic within the mobility mining domain. In this context, many proposals applied an off-line learning process before being able to run the on-line prediction algorithm. The present work introduces a novel framework that integrates the route learning and the prediction algorithm in an on-line manner. By means of a thin-client and server architecture, it also puts forward a new concept for route abstraction based on the detection of spatial regions where certain routes’ velocity features frequently change. More in detail, the Complex Event Processing paradigm and the density-based clustering will be used for the route abstraction stage. In addition to that, a multigraph model will be used for the serialization of the mobility model of each user. Finally, a comparison with a well-established work of the state of the art is also devised.
- 研究期間
Research Period - 2016-04-05 - 2017-03-31
変更申請
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研究者 / Researchers
申請中の研究者は表示されません。 / Pending researchers are not shown.
Fernando Terroso-Saenz / University of Murcia
研究成果 / Achievement
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