Predicting the Number of Passengers in Public Transportation Areas Using the Deep Learning Model LSTM

Predicting the Number of Passengers in Public Transportation Areas Using the Deep Learning Model LSTM

Accurate predictions of the number of public transport passengers on buses in each region are crucial for operations. They are required by the planning and management authority for bus public transport. A deep learning-based LSTM prediction model is proposed to predict the number of passengers in 4...

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Bibliographic Details
Main Authors: Joko Siswanto, Sri Yulianto Joko Prasetyo, Sutarto Wijono, Evi Maria, Untung Rahardja
Format: Article
Language:English
Published: Udayana University, Institute for Research and Community Services 2025-01-01
Series:Lontar Komputer
Online Access:https://ojs.unud.ac.id/index.php/lontar/article/view/112651
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