DOAJ Open Access 2023

An efficient and intelligent traffic flow prediction method based on LSTM and variational modal decomposition

Jingyi Lu

Abstrak

Traffic flow prediction is a very important research field in intelligent transportation system. The traditional prediction methods have a very wide application in traffic flow prediction. However, in the short-term traffic flow prediction, due to the complexity of its influencing factors, the traditional prediction methods cannot predict the short-term traffic flow well. In this paper, the short-term traffic flow prediction model is constructed by using the short-term and short-term memory network, and the modal aliasing problem is solved by using the variational modal decomposition. From the experimental results, the method proposed in this paper is very suitable for short-term traffic flow prediction, and can achieve good prediction effect and accuracy.

Topik & Kata Kunci

Electric apparatus and materials. Electric circuits. Electric networks

Penulis (1)

Jingyi Lu

Format Sitasi

APA MLA BibTeX

Lu, J. (2023). An efficient and intelligent traffic flow prediction method based on LSTM and variational modal decomposition. https://doi.org/10.1016/j.measen.2023.100843

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.1016/j.measen.2023.100843
Akses: Open Access ✓