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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 27, 2023 - Issue 1
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Articles

A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction

Xuecai Xua School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China; View further author information
,
Xiaofei Jinb Shanghai Municipal Engineering Design Institute (Group) Co., Ltd. (Wuhan Branch), Wuhan, China; View further author information
,
Daiquan Xiaoa School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China; View further author information
,
Changxi Mac School of Traffic and Transportation Engineering, Lanzhou Jiaotong University, Lanzhou, China; Correspondence[email protected]
View further author information
&
S. C. Wongd Department of Transportation Engineering, University of Hong Kong Pokfulam Road, Hong Kong, ChinaView further author information
Pages 1-18 | Received 10 May 2020, Accepted 27 Aug 2021, Published online: 21 Sep 2021

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Read on this site (2)

Zied Bouyahia, Hedi Haddad, Stéphane Derrode & Wojciech Pieczynski. (2023) Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model. Journal of Intelligent Transportation Systems 27:4, pages 503-522.
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Sajjad Shafiei, Eileen Wang, Hanna Grzybowska & Chen Cai. (2023) Arterial corridor travel time prediction under non-recurring conditions. Journal of Intelligent Transportation Systems 27:3, pages 335-346.
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Articles from other publishers (1)

You Wang, Ruxue Jia, Fang Dai & Yunxia Ye. (2022) Traffic Flow Prediction Method Based on Seasonal Characteristics and SARIMA-NAR Model. Applied Sciences 12:4, pages 2190.
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