Full paper presentations are 15 minutes + 5 minutes Q&A

Short paper presentations are 10 minutes + 3 minutes Q&A

Awards

Best paper award: "Spatio-Temporal Clustering of Traffic Data with Deep Embedded Clustering", Reza Asadi (University of California, Irvine), Amelia Regan (University of California, Irvine)

Runner up award: "Grab-Posisi: An Extensive Real-Life GPS Trajectory Dataset in Southeast Asia", Xiaocheng Huang (Grabtaxi Holdings), Yifang Yin (National University of Singapore), Simon Lim (Grabtaxi Holdings), Guanfeng Wang (Grabtaxi Research and Development Centre), Bo Hu (Grabtaxi Holdings), Jagannadan Varadarajan (Grabtaxi Holdings), Shaolin Zheng (Grabtaxi Holdings), Roger Zimmermann (National University of Singapore)

November 5

09:00-09:05
Opening remarks
09:05-10:30
Session 1

Keynote: Big data for predictive modeling of urban mobility and forecasting impacts of urban solutions

Professor Stanislav Sobolevsky, New York University

Predicting Traffic Accidents with Event Recorder Data (short paper)

Yoshiaki Takimoto, NTT; Yusuke Tanaka, NTT; Takeshi Kurashima, NTT; Shuhei Yamamoto, NTT; Maya Okawa, NTT; Hiroyuki Toda, NTT

Graph Analyses of Phone-Based Origin-Destination Data for Understanding Urban Human Mobility in Seoul, Korea (short paper)

Hyoungjoon Lim, Yonsei University; Soohyun Kim, Yonsei University; Joon Heo, Yonsei University

10:30-11:00

Coffee break

11:00-12:00
Session 2

A Novel Approach to Approximate Crime Hotspots to the Road Network

Francisco Carlos Freire Nunes Junior, Universidade Federal do Ceara; Ticiana L. Coelho da Silva, Federal University of Ceara; Jose Florencio de Queiroz Neto, Universidade Federal do Ceara; Jose Macedo, Insight Data Science Lab; Wellington Silva, Universidade Federal do Rio Grande do Norte

Grab-Posisi: An Extensive Real-Life GPS Trajectory Dataset in Southeast Asia

Xiaocheng Huang, Grabtaxi Holdings; Yifang Yin, National University of Singapore; Simon Lim, Grabtaxi Holdings; Guanfeng Wang, Grabtaxi Research and Development Centre; Bo Hu, Grabtaxi Holdings; Jagannadan Varadarajan, Grabtaxi Holdings; Shaolin Zheng, Grabtaxi Holdings; Roger Zimmermann, National University of Singapore

Predicting Traveler Next Choice of Activity with Location-Based Social Network Data

To Diem, University of Washington; Dong Si, University of Washington; Ying Chen, Northwestern University

12:00-13:30

Lunch (not provided)

13:30-15:30
Session 3

Keynote: Mobility Analytics in an Era of Accelerated Technological Change

Professor Satish V. Ukkusuri, Purdue University

Bike-Share Demand Prediction using Attention based Sequence to Sequence and Conditional Variational AutoEncoder (Short paper)

Tomohiro Mimura, NTT DOCOMO; Shin Ishiguro, NTT DOCOMO; Satoshi Kawasaki, NTT DOCOMO; Yusuke Fukazawa, NTT DOCOMO

Spatio-Temporal Clustering of Traffic Data with Deep Embedded Clustering

Reza Asadi, University of California, Irvine; Amelia Regan, University of California, Irvine

Context-based Markov Model toward Spatio-Temporal Prediction with Realistic Dataset

Kota Tsubouchi, Yahoo Japan Corporation; Tomoki Saito, JapanTaxi Co., Ltd.; Masamichi Shimosaka, Tokyo Institute of Technology

15:30-16:00

Coffee break

16:00-16:40
Session 4

Using Mobile Sensing Technology for Capturing People Mobility Information

Chenwei Song, The University of Tokyo; Masaki Ito, The University of Tokyo; Yuuki Nishiyama, The University of Tokyo; Kaoru Sezaki, The University of Tokyo

Enhancing a Crowd-based Delivery Network with Mobility Predictions

Christian Schreckenberger, University of Mannheim; Christian Bartelt, University of Mannheim; Heiner Stuckenschmidt, University of Mannheim

16:40-16:50
Closing remarks
Contact

If you have any problems or questions, please contact us via e-mail at: tyabe@purdue.edu