A Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet

Accurate vessel traffic flow prediction is significant for maritime traffic guidance and control. According to the characteristics of vessel traffic flow data, a new hybrid model, named DWT–Prophet, is proposed based on the discrete wavelet decomposition and Prophet framework for the prediction of v...

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Autores principales:	Dangli Wang, Yangran Meng, Shuzhe Chen, Cheng Xie, Zhao Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	vessel traffic flow prediction wavelet decomposition Prophet Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/88e7be3ae24241a5a8fa4775afed3482
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spelling	oai:doaj.org-article:88e7be3ae24241a5a8fa4775afed34822021-11-25T18:04:33ZA Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet10.3390/jmse91112312077-1312https://doaj.org/article/88e7be3ae24241a5a8fa4775afed34822021-11-01T00:00:00Zhttps://www.mdpi.com/2077-1312/9/11/1231https://doaj.org/toc/2077-1312Accurate vessel traffic flow prediction is significant for maritime traffic guidance and control. According to the characteristics of vessel traffic flow data, a new hybrid model, named DWT–Prophet, is proposed based on the discrete wavelet decomposition and Prophet framework for the prediction of vessel traffic flow. First, vessel traffic flow was decomposed into a low-frequency component and several high-frequency components by wavelet decomposition. Second, Prophet was trained to predict the components, respectively. Finally, the prediction results of the components were reconstructed to complete the prediction. The experimental results demonstrate that the hybrid DWT–Prophet outperformed the single Prophet, long short-term memory, random forest, and support vector regression (SVR). Moreover, the practicability of the new forecasting method was improved effectively.Dangli WangYangran MengShuzhe ChenCheng XieZhao LiuMDPI AGarticlevessel traffic flowpredictionwavelet decompositionProphetNaval architecture. Shipbuilding. Marine engineeringVM1-989OceanographyGC1-1581ENJournal of Marine Science and Engineering, Vol 9, Iss 1231, p 1231 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	vessel traffic flow prediction wavelet decomposition Prophet Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
spellingShingle	vessel traffic flow prediction wavelet decomposition Prophet Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Dangli Wang Yangran Meng Shuzhe Chen Cheng Xie Zhao Liu A Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet
description	Accurate vessel traffic flow prediction is significant for maritime traffic guidance and control. According to the characteristics of vessel traffic flow data, a new hybrid model, named DWT–Prophet, is proposed based on the discrete wavelet decomposition and Prophet framework for the prediction of vessel traffic flow. First, vessel traffic flow was decomposed into a low-frequency component and several high-frequency components by wavelet decomposition. Second, Prophet was trained to predict the components, respectively. Finally, the prediction results of the components were reconstructed to complete the prediction. The experimental results demonstrate that the hybrid DWT–Prophet outperformed the single Prophet, long short-term memory, random forest, and support vector regression (SVR). Moreover, the practicability of the new forecasting method was improved effectively.
format	article
author	Dangli Wang Yangran Meng Shuzhe Chen Cheng Xie Zhao Liu
author_facet	Dangli Wang Yangran Meng Shuzhe Chen Cheng Xie Zhao Liu
author_sort	Dangli Wang
title	A Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet
title_short	A Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet
title_full	A Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet
title_fullStr	A Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet
title_full_unstemmed	A Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet
title_sort	hybrid model for vessel traffic flow prediction based on wavelet and prophet
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/88e7be3ae24241a5a8fa4775afed3482
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A Hybrid Model for Vessel Traffic Flow Prediction Based on Wavelet and Prophet

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