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...

詳細記述

書誌詳細

主要な著者:	Zhizhe Lin, Dawei Wang, Chuxin Cao, Hai Xie, Teng Zhou, Chunjie Cao
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-03-01
シリーズ:	Mathematics
主題:	traffic flow theory intelligent transportation Kolmogorov–Arnold networks gravitational search algorithm
オンライン･アクセス:	https://www.mdpi.com/2227-7390/13/7/1158
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