STAE-BiSSSM: A Traffic Flow Forecasting Model with High Parameter Effectiveness

Traffic flow forecasting plays a significant role in intelligent transportation systems (ITSs) and is instructive for traffic planning, management and control. Increasingly complex traffic conditions pose further challenges to the traffic flow forecasting. While improving the accuracy of model forec...

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Hlavní autoři:	Duoliang Liu, Qiang Qu, Xuebo Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-10-01
Edice:	ISPRS International Journal of Geo-Information
Témata:	Bidirectional Selective SSM Spatio-Temporal Adaptive Embedding Selective SSM traffic flow forecasting
On-line přístup:	https://www.mdpi.com/2220-9964/14/10/388
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