Attention-Driven Recurrent Imputation for Traffic Speed

Attention-Driven Recurrent Imputation for Traffic Speed

In practice, traffic data collection is often warned by missing data due to communication errors, sensor failures, storage loss, among other factors, leading to impaired data collection and hampering the effectiveness of downstream applications. However, existing imputation approaches focus exclusiv...

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Bibliographic Details
Main Authors:	Shuyu Zhang, Chenhan Zhang, Shiyao Zhang, James J. Q. Yu
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Open Journal of Intelligent Transportation Systems
Subjects:	Traffic speed imputation deep learning long term short memory self-attention intelligent transportation systems
Online Access:	https://ieeexplore.ieee.org/document/9924577/

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