GSA-KAN: A Hybrid Model for Short-Term Traffic Forecasting

Short-term traffic flow forecasting is an essential part of intelligent transportation systems. However, it is challenging to model traffic flow accurately due to its rapid changes over time. The Kolmogorov–Arnold Network (KAN) has shown parameter efficiency with lower memory and computational overh...

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Hlavní autoři:	Zhizhe Lin, Dawei Wang, Chuxin Cao, Hai Xie, Teng Zhou, Chunjie Cao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-03-01
Edice:	Mathematics
Témata:	traffic flow theory intelligent transportation Kolmogorov–Arnold networks gravitational search algorithm
On-line přístup:	https://www.mdpi.com/2227-7390/13/7/1158
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