Urban Traffic Volume Prediction using LSTM and Bi-LSTM: Performance Evaluation on the Metro Interstate Dataset

Urban traffic forecasting underpins the mitigation of congestion, enhancement of road safety, and reduction of emissions in intelligent transportation systems. We benchmark Long Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM) models on the Metro Interstate Traffic Volume dataset under an i...

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Hlavní autoři:	Andri Pranolo, Shoffan Saifullah, Agung Bella Utama Putra, Rafał Dreżewski, Aji Prasetya Wibawa
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Fakultas Ilmu Komputer UMI 2025-10-01
Edice:	Ilkom Jurnal Ilmiah
Témata:	lstm bi-lstm deep learning time series forecasting urban traffic
On-line přístup:	https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/3001
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