MOIR/MT: Monitoring Large-Scale Road Network Traffic in Real-Time
Summary: Extends MOIR with real-time, city-scale traffic monitoring over massive floating-car-data streams. Demonstrates attribute-aware load shedding to control overload, bound delays, and preserve monitoring accuracy, validated on real urban data. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Kuien Liu (Institute of Software, Chinese Academy of Sciences)
- 2. Ke Deng (University of Queensland)
- 3. Zhiming Ding (Institute of Software, Chinese Academy of Sciences)
- 4. Mingshu Li (Institute of Software, Chinese Academy of Sciences)
- 5. Xiaofang Zhou (University of Queensland)
BibTeX Citation
@article{liu_vldb09,
title = {{MOIR/MT: Monitoring Large-Scale Road Network Traffic in Real-Time}},
author = {Liu, Kuien and Deng, Ke and Ding, Zhiming and Li, Mingshu and Zhou, Xiaofang},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687553.1687585},
url = {https://doi.org/10.14778/1687553.1687585},
year = {2009}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 671 | Load Shedding in a Data Stream Manager | 2003 | VLDB | 0.00015154516 |
| 1,885 | Discovery of Convoys in Trajectory Databases | 2008 | VLDB | 9.5362394e-05 |
| 2,153 | Monitoring Path Nearest Neighbor in Road Networks | 2009 | SIGMOD | 9.0762376e-05 |
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