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Where To: Crowd-Aided Path Selection

Summary: Introduces crowd-aided path selection using Routing Query (RQ) and Binary Routing Query (BRQ) to operationalize directional choices at intersections. Proposes budget-aware, dynamic question scheduling to reduce selection hardness, with simulations and real crowdsourcing data showing gains over baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10897
Venue
VLDB
Year
2014
Pagerank
4.5946189e-05
Overall Rank
8,056 | 43.96%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
5,734 Efficient Algorithms for Crowd-Aided Categorization 2020 VLDB 5.3482904e-05
7,117 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.826509e-05
11,788 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 4.1945683e-05
11,814 Spatial Crowdsourcing: Challenges, Techniques, and Applications 2017 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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