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

• Project/Area Number: 17H01784
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: The University of Tokyo
• Principal Investigator: Song Xuan 東京大学, 空間情報科学研究センター, 准教授 (20600737)
• Project Period (FY): 2017-04-01 – 2020-03-31
• Project Status: Completed (Fiscal Year 2019)
• Budget Amount: ¥12,350,000 (Direct Cost: ¥9,500,000、Indirect Cost: ¥2,850,000); Fiscal Year 2019: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000); Fiscal Year 2018: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000); Fiscal Year 2017: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
• Keywords: Disaster Informatics / Big Data and Data Mining / Artificial Intelligence / Urban Computing / Internet of Things

Outline of Final Research Achievements

The research progress of this project is very good. Our research results were published in the eminent publications for computer science including AAAI 2018, ACM IMWUT 2018, ACM KDD 2019, ACM IMWUT 2019 and Applied Energy 2018 and 2019.

Academic Significance and Societal Importance of the Research Achievements

本研究は、フロンティアビッグデータ応用分野において大きな意義を持ち、大規模災害や緊急事態発生後の経済損失、交通機関の混乱、廃業などを最小限に抑えることで、重大な社会的・経済的影響を与える可能性を秘めている。

Research Products

• [Journal Article] DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events (2019)
  • Author(s): Jiang Renhe、Song Xuan、Huang Dou、Song Xiaoya、Xia Tianqi、Cai Zekun、Wang Zhaonan、Kim Kyoung-Sook、Shibasaki Ryosuke
  • Journal Title: KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining Volume: － Pages: 2114-2122
  • DOI: 10.1145/3292500.3330654
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Mobile phone GPS data in urban bicycle-sharing: Layout optimization and emissions reduction analysis (2019)
  • Author(s): Zhang Haoran、Song Xuan、Long Yin、Xia Tianqi、Fang Kai、Zheng Jianqin、Huang Dou、Shibasaki Ryosuke、Liang Yongtu
  • Journal Title: Applied Energy Volume: 242 Pages: 138-147
  • DOI: 10.1016/j.apenergy.2019.03.119
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Decentralized Attention-based Personalized Human Mobility Prediction (2019)
  • Author(s): Fan Zipei、Song Xuan、Jiang Renhe、Chen Quanjun、Shibasaki Ryosuke
  • Journal Title: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume: 3 Issue: 4 Pages: 1-26
  • DOI: 10.1145/3369830
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Deep Multiple Instance Learning for Human Trajectory Identification (2019)
  • Author(s): Fan Zipei、Chen Quanjun、Jiang Renhe、Shibasaki Ryosuke、Song Xuan、Tsubouchi Kota
  • Journal Title: SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Volume: － Pages: 512-515
  • DOI: 10.1145/3347146.3359342
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Measuring spatio-temporal accessibility to emergency medical services through big GPS data (2019)
  • Author(s): Xia Tianqi、Song Xuan、Zhang Haoran、Song Xiaoya、Kanasugi Hiroshi、Shibasaki Ryosuke
  • Journal Title: Health & Place Volume: 56 Pages: 53-62
  • DOI: 10.1016/j.healthplace.2019.01.012
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Online Deep Ensemble Learning for Predicting Citywide Human Mobility (2018)
  • Author(s): Fan Zipei、Song Xuan、Xia Tianqi、Jiang Renhe、Shibasaki Ryosuke、Sakuramachi Ritsu
  • Journal Title: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume: 2 Issue: 3 Pages: 1-21
  • DOI: 10.1145/3264915
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Deep ROI-Based Modeling for Urban Human Mobility Prediction (2018)
  • Author(s): Jiang Renhe、Song Xuan、Fan Zipei、Xia Tianqi、Chen Quanjun、Chen Qi、Shibasaki Ryosuke
  • Journal Title: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume: 2 Issue: 1 Pages: 1-29
  • DOI: 10.1145/3191746
  • Peer Reviewed
• [Journal Article] Battery electric vehicles in Japan: Human mobile behavior based adoption potential analysis and policy target response (2018)
  • Author(s): Zhang Haoran、Song Xuan、Xia Tianqi、Yuan Meng、Fan Zipei、Shibasaki Ryosuke、Liang Yongtu
  • Journal Title: Applied Energy Volume: 220 Pages: 527-535
  • DOI: 10.1016/j.apenergy.2018.03.105
  • Peer Reviewed
• [Journal Article] DeepRailway: A Deep Learning System for Forecasting Railway Traffic (2018)
  • Author(s): Xia Tianqi、Song Xuan、Fan Zipei、Kanasugi Hiroshi、Chen QuanJun、Jiang Renhe、Shibasaki Ryosuke
  • Journal Title: 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Volume: N/A Pages: 51-56
  • DOI: 10.1109/mipr.2018.00017
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] A Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data (2018)
  • Author(s): Chen Quanjun、Song Xuan、Fan Zipei、Xia Tianqi、Yamada Harutoshi、Shibasaki Ryosuke
  • Journal Title: Proc. of 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Volume: 1 Pages: 346-351
  • DOI: 10.1109/mipr.2018.00077
  • Peer Reviewed
• [Journal Article] DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction (2018)
  • Author(s): Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki
  • Journal Title: Prof. of Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018 Volume: 1 Pages: 784-791
  • Peer Reviewed
• [Remarks] IPUC Laboratory
  • URL: https://shiba.iis.u-tokyo.ac.jp/song/