Machine Learning for public transportation demand prediction: A Systematic Literature Review

Author:

Rocco di Torrepadula FrancaORCID,Napolitano Enea VincenzoORCID,Di Martino Sergio,Mazzocca NicolaORCID

Publisher

Elsevier BV

Reference147 articles.

1. The day-ahead forecasting of the passenger occupancy in public transportation by using machine learning;Altıntaş,2022

2. Bus passenger load prediction: Challenges from an industrial experience;Amato,2022

3. A systematic review of deep learning approaches for surface defect detection in industrial applications;Ameri;Eng. Appl. Artif. Intell.,2024

4. Forecasting surabaya–jakarta train passengers with SARIMA model;Astuti,2018

5. Short-term passenger flow prediction using a bus network graph convolutional long short-term memory neural network model;Baghbani;Transp. Res. Rec.,2022

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