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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Principais autores:	Zhizhe Lin, Dawei Wang, Chuxin Cao, Hai Xie, Teng Zhou, Chunjie Cao
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-03-01
Serija:	Mathematics
Teme:	traffic flow theory intelligent transportation Kolmogorov–Arnold networks gravitational search algorithm
Online dostop:	https://www.mdpi.com/2227-7390/13/7/1158
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