Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning

Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning

This paper proposes a novel phase-based short-term traffic flow prediction method based on parallel multi-task learning for isolated intersections. Different from traditional short-term traffic flow prediction methods, we take the traffic flow of each phase as the minimum prediction unit, instead of...

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Detaylı Bibliyografya
Asıl Yazarlar: Bao-Lin Ye, Shiwei Zhu, Lingxi Li, Weimin Wu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Taylor & Francis Group 2024-12-01
Seri Bilgileri:Systems Science & Control Engineering
Konular:
Short-term traffic flow prediction
encoding and decoding structure
multi-step prediction
multi-task learning
Online Erişim:https://www.tandfonline.com/doi/10.1080/21642583.2024.2316160

Internet

https://www.tandfonline.com/doi/10.1080/21642583.2024.2316160

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