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 - 630
- 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 Shin'ichi KONOMI
Shin'ichi KONOMI
- 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 - 2015-09-26 - 2016-03-31
変更申請
変更のために新しい申請を保存します。
This will save a new application on the system for a modification.
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
年次報告一覧 / Annual reports 必須
年次報告の内容はメンバーのみ表示されます。