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ORCIDPredictGIS@SIGSPATIAL 2019: Chicago, IL, USA
- Satish V. Ukkusuri, Kaoru Sezaki, Takahiro Yabe, Kota Tsubouchi:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6964-0 - Xiaocheng Huang, Yifang Yin
, Simon Lim, Guanfeng Wang, Bo Hu, Jagannadan Varadarajan, Shaolin Zheng, Ajay Bulusu, Roger Zimmermann:
Grab-Posisi: An Extensive Real-Life GPS Trajectory Dataset in Southeast Asia. 1-10 - Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda:
Predicting Traffic Accidents with Event Recorder Data. 11-14 - Diem To, Dong Si, Ying Chen:
Traveler's Next Activity Predication with Location-Based Social Network Data. 15-23 - Kota Tsubouchi, Tomoki Saito, Masamichi Shimosaka:
Context-based Markov Model toward Spatio-Temporal Prediction with Realistic Dataset. 24-32 - Chenwei Song, Masaki Ito, Yuuki Nishiyama, Kaoru Sezaki:
Using Mobile Sensing Technology for Capturing People Mobility Information. 33-40 - Tomohiro Mimura, Shin Ishiguro, Satoshi Kawasaki, Yusuke Fukazawa:
Bike-Share Demand Prediction using Attention based Sequence to Sequence and Conditional Variational AutoEncoder. 41-44 - Reza Asadi, Amelia Regan:
Spatio-Temporal Clustering of Traffic Data with Deep Embedded Clustering. 45-52 - Francisco C. F. Nunes Junior, Ticiana L. Coelho da Silva, José F. de Queiroz Neto, José Antônio Fernandes de Macêdo, Wellington Clay Porcino:
A Novel Approach to Approximate Crime Hotspots to the Road Network. 53-61 - Hyoungjoon Lim, Soohyun Kim, Joon Heo:
Graph Analyses of Phone-Based Origin-Destination Data for Understanding Urban Human Mobility in Seoul, Korea. 62-65 - Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt:
Enhancing a Crowd-based Delivery Network with Mobility Predictions. 66-75
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