FTT: A System for Finding and Tracking Tourists in Public Transport Services
Summary: FTT scales to city-wide public-transport data to discover and track tourists among commuters. An iterative learning algorithm isolates tourists in ridership records and enables trajectory queries with a map-based visualization. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Huayu Wu (Institute for Infocomm Research)
- 2. Jo-Anne Tan (Institute for Infocomm Research)
- 3. Wee Siong Ng (Institute for Infocomm Research)
- 4. Mingqiang Xue (Institute for Infocomm Research)
- 5. Wei Chen (Institute for Infocomm Research)
BibTeX Citation
@inproceedings{wu_sigmod15,
title = {{FTT: A System for Finding and Tracking Tourists in Public Transport Services}},
author = {Wu, Huayu and Tan, Jo-Anne and Ng, Wee Siong and Xue, Mingqiang and Chen, Wei},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2735367},
url = {https://dl.acm.org/doi/10.1145/2723372.2735367},
year = {2015}
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