WT-2DCNN: A convolutional neural network traffic flow prediction model based on wavelet reconstruction

Yang Liu, Yaolun Song, Yan Zhang and Zhifang Liao

Physica A: Statistical Mechanics and its Applications, 2022, vol. 603, issue C

Abstract: Accurate traffic flow prediction is important for congestion identification and traffic dispersion. The original traffic flow data may generate different noises in the detector collection process and data aggregation process, resulting in large errors in the prediction results.

Keywords: Highway; Traffic flow prediction; Wavelet reconstruction; Data extension; Convolutional neural network (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:603:y:2022:i:c:s0378437122005349

DOI: 10.1016/j.physa.2022.127817

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