Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks

Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks

Abstract To address the issue of spatiotemporal illusion in short-term traffic flow prediction and deeply explore the underlying short-term traffic flow network characteristics, a traffic flow prediction model that combines long-term spatiotemporal heterogeneity with short-term spatiotemporal featur...

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Bibliographic Details
Main Authors: Li Ma, Yunshun Wang, Xiaoshi Lv, Lijun Guo
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Intelligent transportation
Short-term traffic flow prediction
ODE
Transformer structure
Attention mechanism
Online Access:https://doi.org/10.1038/s41598-025-92859-z
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https://doi.org/10.1038/s41598-025-92859-z

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