DeepMob: Learning Deep Models from Big and Heterogeneous Data for Next-generation Urban Emergency Management

2019 年度 実績報告書

• 研究課題/領域番号: 17H01784
• 研究機関: 東京大学
• 研究代表者: 宋 軒 東京大学, 空間情報科学研究センター, 准教授 (20600737)
• 研究期間 (年度): 2017-04-01 – 2020-03-31
• キーワード: Disaster Informatics / Big Data and Data Mining / Artificial Intelligence / Urban Computing / Internet of Things

研究実績の概要

In the 2019 fiscal year, the research progress of this project is very good.(1)We developed a novel approach to extract the deep trend only from the current momentary observations.(2)We developed a novel decentralized attention-based human mobility predictor.(3)We developed a novel approach for analyzing the potential reduction in emissions associated with the adoption of a bicycle-sharing system.

Our research results were published in the eminent publications for computer science including ACM KDD 2019, ACM IMWUT 2019 and Applied Energy.

現在までの達成度 (段落)

令和元年度が最終年度であるため、記入しない。

今後の研究の推進方策

令和元年度が最終年度であるため、記入しない。

研究成果

• [雑誌論文] DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events (2019)
  • 著者名/発表者名: Jiang Renhe、Song Xuan、Huang Dou、Song Xiaoya、Xia Tianqi、Cai Zekun、Wang Zhaonan、Kim Kyoung-Sook、Shibasaki Ryosuke
  • 雑誌名: KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 巻: － ページ: －
  • DOI: https://doi.org/10.1145/3292500.3330654
  • 査読あり
• [雑誌論文] Mobile phone GPS data in urban bicycle-sharing: Layout optimization and emissions reduction analysis (2019)
  • 著者名/発表者名: Zhang Haoran、Song Xuan、Long Yin、Xia Tianqi、Fang Kai、Zheng Jianqin、Huang Dou、Shibasaki Ryosuke、Liang Yongtu
  • 雑誌名: Applied Energy 巻: 242 ページ: 138～147
  • DOI: https://doi.org/10.1016/j.apenergy.2019.03.119
  • 査読あり / 国際共著
• [雑誌論文] Decentralized Attention-based Personalized Human Mobility Prediction (2019)
  • 著者名/発表者名: Fan Zipei、Song Xuan、Jiang Renhe、Chen Quanjun、Shibasaki Ryosuke
  • 雑誌名: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 巻: 3 ページ: 1～26
  • DOI: https://doi.org/10.1145/3369830
  • 査読あり / 国際共著
• [雑誌論文] Deep Multiple Instance Learning for Human Trajectory Identification (2019)
  • 著者名/発表者名: Fan Zipei、Chen Quanjun、Jiang Renhe、Shibasaki Ryosuke、Song Xuan、Tsubouchi Kota
  • 雑誌名: SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 巻: － ページ: －
  • DOI: https://doi.org/10.1145/3347146.3359342
  • 査読あり / 国際共著
• [雑誌論文] Measuring spatio-temporal accessibility to emergency medical services through big GPS data (2019)
  • 著者名/発表者名: Xia Tianqi、Song Xuan、Zhang Haoran、Song Xiaoya、Kanasugi Hiroshi、Shibasaki Ryosuke
  • 雑誌名: Health & Place 巻: 56 ページ: 53～62
  • DOI: https://doi.org/10.1016/j.healthplace.2019.01.012
  • 査読あり
• [備考] IPUC Laboratory
  • URL: https://shiba.iis.u-tokyo.ac.jp/song/