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Wireless Personal Communications
Published in: Wireless Personal Communications 4/2021

19-01-2021

Short‐Term High-Speed Traffic Flow Prediction Based on ARIMA-GARCH-M Model

Authors: Xianfu Lin, Yuzhang Huang

Published in: Wireless Personal Communications | Issue 4/2021

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Abstract

The traditional traffic flow prediction model acquired the poor characteristics of the traffic flow time series, which led to the low prediction accuracy. Therefore, the short-term high-speed traffic flow prediction based on arima-garch-m model was proposed. According to the urban traffic flow theory, ARIMA model and GARCH model are combined to obtain the corresponding fluctuation characteristics and realize the prediction of traffic flow. The experimental results show that the NRMSE and MAPE of the model in this paper are only 3.13 % and 8.76 %, respectively, with good prediction accuracy and better stability and accuracy than the other two models, proving that the model has good performance and can meet the needs of practical application.
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Metadata
Title
Short‐Term High-Speed Traffic Flow Prediction Based on ARIMA-GARCH-M Model
Authors
Xianfu Lin
Yuzhang Huang
Publication date
19-01-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08085-z

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