Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for multi-step prediction requires high computational complexity, making them less efficient for real-time applicat...

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Vydané v:	IEEE access Ročník 13; s. 106349 - 106368
Hlavní autori:	Omar, Mas, Yakub, Fitri, Wijaya, Andika Aji, Mohammad, Ahmad Faiz, Maslan, Mohd Nazmin, Dhamanti, Inge, Zhongchao, Shi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Biological system modeling Computational modeling Computer architecture Data models Datasets Decoding encoder-decoder transformer encoder-only transformer Encoders-Decoders Forecasting Intelligent transportation systems Long short term memory multi-step prediction Predictive models Real time Traffic congestion Traffic flow Traffic flow prediction Transformers United States > US Minnesota California
ISSN:	2169-3536, 2169-3536
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