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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Bibliographic Details

Published in:	Ilkom Jurnal Ilmiah
Main Authors:	Andri Pranolo, Shoffan Saifullah, Agung Bella Utama Putra, Rafał Dreżewski, Aji Prasetya Wibawa
Format:	Article
Language:	English
Published:	Fakultas Ilmu Komputer UMI 2025-10-01
Subjects:	lstm bi-lstm deep learning time series forecasting urban traffic
Online Access:	https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/3001