Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit

Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit

Bus transit plays a vital role in urban public transportation but often struggles to provide accurate and reliable departure times. This leads to delays, passenger dissatisfaction, and decreased ridership, particularly in transit-dependent areas. A major challenge lies in the discrepancy between act...

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Bibliographic Details
Main Authors: Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani, Hamed Tabkhi
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:IoT
Subjects:
feature engineering
deep learning
fully connected neural networks
bus departure time prediction
IoT
Online Access:https://www.mdpi.com/2624-831X/5/4/29
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