CheetahVIS: A Visual Analytical System for Large Urban Bus Data
Summary: CheetahVIS is a Spark-based visual analytics system for massive urban bus trajectories, exploiting fixed-route structure to study bus-flow dynamics. It supports route analysis, citywide flow overviews, and multi-region comparisons for smart-city stakeholders. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Wentao Ning (Southern University of Science and Technology)
- 2. Qiandong Tang (Southern University of Science and Technology)
- 3. Yi Zhao (Southern University of Science and Technology)
- 4. Chuan Yang (Southern University of Science and Technology)
- 5. Xiaofeng Wang (Southern University of Science and Technology)
- 6. Teng Wang (Southern University of Science and Technology)
- 7. Haotian Liu (Southern University of Science and Technology)
- 8. Chaozu Zhang (Southern University of Science and Technology)
- 9. Zhiyuan Zhou (Southern University of Science and Technology)
- 10. Qiaomu Shen (Southern University of Science and Technology)
- 11. Bo Tang (Peng Cheng Laboratory; Southern University of Science and Technology)
BibTeX Citation
@article{ning_vldb20,
title = {{CheetahVIS: A Visual Analytical System for Large Urban Bus Data}},
author = {Ning, Wentao and Tang, Qiandong and Zhao, Yi and Yang, Chuan and Wang, Xiaofeng and Wang, Teng and Liu, Haotian and Zhang, Chaozu and Zhou, Zhiyuan and Shen, Qiaomu and Tang, Bo},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2805--2808},
doi = {10.14778/3415478.3415480},
url = {https://doi.org/10.14778/3415478.3415480},
year = {2020}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,216 | Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane | 2018 | SIGMOD | 5.9425753e-05 |
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