Data underlying the PhD thesis: Driven Spatial-Temporal Modeling for Bicycle Traffic Prediction
DOI:10.4121/f7ec1685-c5dc-4406-9866-efe3b97128cf.v1
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DOI: 10.4121/f7ec1685-c5dc-4406-9866-efe3b97128cf
DOI: 10.4121/f7ec1685-c5dc-4406-9866-efe3b97128cf
Datacite citation style
Wen, Xiamei (2025): Data underlying the PhD thesis: Driven Spatial-Temporal Modeling for Bicycle Traffic Prediction. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f7ec1685-c5dc-4406-9866-efe3b97128cf.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Thesis Datasets are mainly used for bicycle traffic flow prediction based on AI-based traffic prediction approaches, such as Graph Neural Network, Transformer, Federated Learning.
History
- 2025-10-01 first online, published, posted
Publisher
4TU.ResearchDataFormat
*.csvOrganizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning, Traffic Systems EngineeringDATA
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