AI-based neural network models for bus passenger demand forecasting using smart card data

Author:

Liyanage SohaniORCID,Abduljabbar RusulORCID,Dia HusseinORCID,Tsai Pei-WeiORCID

Publisher

Elsevier BV

Subject

Public Administration,Urban Studies,Geography, Planning and Development

Reference95 articles.

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3. Sensor-based big data applications and environmentally sustainable urban development in internet of things-enabled smart cities;Adams;Geopolitics, History, and International Relations,2021

4. Intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems;Aldridge;Contemporary Readings in Law and Social Justice,2021

5. Automated Box–Jenkins forecasting tool with an application for passenger demand in urban rail systems;Anvari;Journal of Advanced Transportation,2016

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3. Generative AI in the Manufacturing Process: Theoretical Considerations;Engineering Management in Production and Services;2023-12-01

4. A Stacked BiLSTM based Approach for Bus Passenger Demand Forecasting using Smart Card Data;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

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