Origin-destination demand prediction of public transit using graph convolutional neural network

Nithin K. Shanthappa; Raviraj H. Mulangi; M. M. Harsha

doi:10.1016/j.cstp.2024.101230

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Origin-destination demand prediction of public transit using graph convolutional neural network

Nithin K. Shanthappa Raviraj H. Mulangi M. M. Harsha

Year: 2024 Journal: Case Studies on Transport Policy Vol: 17 Pages: 101230-101230 Publisher: Elsevier BV

DOI: 10.1016/j.cstp.2024.101230

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Keywords:

Convolutional neural network Public transport Computer science Transit (satellite) Graph Transport engineering Artificial intelligence Machine learning Theoretical computer science Engineering

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Topics

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Origin-destination demand prediction of public transit using graph convolutional neural network

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