Name
Abstract | ||
|---|---|---|
This article describes LineKing, a crowdsensing system for monitoring and forecasting coffee shop line wait times. LineKing consists of a smartphone component that provides automatic and accurate wait-time detection, and a cloud backend that uses the collected data to provide accurate wait-time estimation. LineKing is used on a daily basis by hundreds of users to monitor the waittimes of a coffee shop in the University at Buffalo, SUNY. The novel wait-time estimation algorithms of LineKing deployed at the cloud backend provide median absolute errors of less than 3 minutes. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TMC.2014.2384032 | IEEE Transactions on Mobile Computing |
Keywords | Field | DocType |
Estimation,Smart phones,Monitoring,Wireless application protocol,Mobile computing,IEEE 802.11 Standards,Receivers | Mobile computing,Computer science,Crowdsensing,Computer network,Real-time computing,Wireless Application Protocol,Operating system,Cloud computing | Journal |
Volume | Issue | ISSN |
PP | 99 | 1536-1233 |
Citations | PageRank | References |
7 | 0.45 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammed Fatih Bulut | 1 | 60 | 6.81 |
| Murat Demirbas | 2 | 1670 | 102.80 |
| Hakan Ferhatosmanoglu | 3 | 1352 | 89.79 |