Paper Collections of Trajectory

Overview

• Books
• Survey Papers
• Tutorials and Keynotes
• Research Papers
• Experimental Papers
• Demo Papers

Books

Survey Papers

1. A Survey on Trajectory Data Management, Analytics, and Learning. Sheng Wang, Zhifeng Bao, J.Shane Culpepper, Gao Cong. ACM Computing Surveys, 2021. paper

2. Trajectory privacy in location-based services and data publication. Chi-Yin Chow, Mohamed F. Mokbel. SIGKDD Explorations Newsletter, 2011. paper

Tutorials and Keynotes

Research Papers

Simplification

1. Trajectory Simplification with Reinforcement Learning. Zheng Wang, Cheng Long, Gao Cong. ICDE, 2021. paper

2. Direction-preserving trajectory simplification. Cheng Long, Raymond Chi-Wing Wong, H.V. Jagadish. Proceedings of the VLDB Endowment, 2013. paper

Index

Similarity Measures

1. Robust and fast similarity search for moving object trajectories. Lei Chen, M. Tamer Özsu, Vincent Oria. SIGMOD, 2005. paper

2. Searching and mining trillions of time series subsequences under dynamic time warping. Thanawin Rakthanmanon , Bilson Campana, Abdullah Mueen, Gustavo Batista, Brandon Westover, Qiang Zhu, Jesin Zakaria, and Eamonn Keogh. SIGKDD, 2012. paper

3. Calibrating trajectory data for similarity-based analysis. Su Han, Kai Zheng, Haozhou Wang, Jiamin Huang, Xiaofang Zhou. SIGMOD, 2013. paper

4. Indexing and Matching Trajectories under Inconsistent Sampling Rates. Sayan Ranu , Deepak P, Aditya D. Telang, Prasad Deshpande, Sriram Raghavan. ICDE, 2015. paper

5. Deep Representation Learning for Trajectory Similarity Computation. Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei. ICDE, 2021. paper

6. Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. Di Yao, Gao Cong, Chao Zhang, Jingping Bi. ICDE, 2019. paper

Similarity Search

Privacy

1. DPT: differentially private trajectory synthesis using hierarchical reference systems. Xi He, Graham Cormode, Ashwin Machanavajjhala, Cecilia M. Procopiuc, Divesh Srivastava. Proceedings of the VLDB Endowment, 2015. paper

2. Real-World Trajectory Sharing with Local Differential Privacy. Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava. Proceedings of the VLDB Endowment, 2021. paper

3. Privacy-Preserving Synthetic Location Data in the Real World. Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanglu. SSTD, 2021. paper

Experimental Papers

1. Trajectory simplification: an experimental study and quality analysis. Dongxiang Zhang, Mengting Ding, Dingyu Yang, Yi Liu, Ju Fan, Hengtao Shen. Proceedings of the VLDB Endowment, 2018. paper

Demo Papers