Title | ||
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An Effective Fuel-Level Data Cleaning and Repairing Method for Vehicle Monitor Platform. |
Abstract | ||
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With energy scarcity and environmental pollution becoming increasingly serious, the accurate estimation of fuel consumption of vehicles has been important in vehicle management and transportation planning toward a sustainable green transition. Fuel consumption is calculated by fuel-level data collected from high-precision fuel-level sensors. However, in the vehicle monitor platform, there are many... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TII.2018.2878396 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Fuels,Sensors,Cleaning,Databases,Wireless sensor networks,Anomaly detection,Clustering algorithms | Particle swarm optimization,Anomaly detection,Data collection,Environmental pollution,Iterative method,Computer science,Real-time computing,Fuel efficiency,Cluster analysis,Mixture model | Journal |
Volume | Issue | ISSN |
15 | 1 | 1551-3203 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daxin Tian | 1 | 204 | 32.49 |
Yukai Zhu | 2 | 1 | 0.35 |
Xuting Duan | 3 | 45 | 7.80 |
Junjie Hu | 4 | 112 | 20.50 |
Zhengguo Sheng | 5 | 446 | 40.43 |
Min Chen | 6 | 221 | 16.45 |
Jian Wang | 7 | 1 | 0.35 |
Yunpeng Wang | 8 | 194 | 25.34 |