SW-BiLSTM: a Spark-based weighted BiLSTM model for traffic flow forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12039-3.pdf
Reference48 articles.
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2. Belhadi A, Djenouri Y, Djenouri D, Lin JC-W (2020) A recurrent neural network for urban long-term traffic flow forecasting. Appl Intell 50 (10):3252–3265
3. Cong Y, Wang J, Li X (2016) Traffic flow forecasting by a least squares support vector machine with a fruit fly optimization algorithm. Procedia Eng 137:59–68
4. Habtemichael FG, Cetin M (2016) Short-term traffic flow rate forecasting based on identifying similar traffic patterns. Transp Res Part C-Emerging Technol 66:61–78
5. Jia Y, Wu J, Xu M (2017) Traffic flow prediction with rainfall impact using a deep learning method. J Adv Transp 2017:1–10
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