Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation

Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation

The problem of missing values (MVs) in traffic sensor data analysis is universal in current intelligent transportation systems because of various reasons, such as sensor malfunction, transmission failure, etc. Accurate imputation of MVs is the foundation of subsequent data analysis tasks since most...

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Bibliographic Details
Main Authors: Xiaobo Chen, Cheng Chen, Yingfeng Cai, Hai Wang, Qiaolin Ye
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
sparse representation
elastic net
kernel method
missing data
imputation
Online Access:http://www.mdpi.com/1424-8220/18/9/2884

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