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Flexible Online Task Assignment in Real-Time Spatial Data

Summary: Defines Flexible Two-sided Online task Assignment (FTOA) for real-time spatial data, guiding idle workers via predicted task/worker distributions to boost matches. Two-step framework combines offline prediction with POLAR-OP online assignment; achieves 0.47-competitive ratio and O(1) per-event processing, validated on synthetic and real taxi data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11419
Venue
VLDB
Year
2017
Pagerank
4.1945683e-05
Overall Rank
11,794 | 17.96%
DOI
-

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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
2,085 Capacity Constrained Assignment in Spatial Databases 2008 SIGMOD 9.5804907e-05
2,179 A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing 2014 VLDB 9.3558219e-05
2,247 On Efficient Spatial Matching 2007 VLDB 9.2048219e-05
3,235 Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis 2016 VLDB 7.3355287e-05
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