Dynamic Multi-Graph Spatio-Temporal Graph Traffic Flow Prediction in Bangkok: An Application of a Continuous Convolutional Neural Network
The ability to accurately predict urban traffic flows is crucial for optimising city operations. Consequently, various methods for forecasting urban traffic have been developed, focusing on analysing historical data to unders... | Find, read and cite all the research you need on Tech Science Press
Authors
- Marisa Kaewsuwan (ORCID: https://orcid.org/0000-0003-2781-4349)
- Weerawat Sudsutad (ORCID: https://orcid.org/0000-0002-6762-813X)
- Weerapan Sae-Dan
- Aphirak Aphithana (ORCID: https://orcid.org/0000-0002-3580-0978)
- Pongsakon Promsawat
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2024-11-11
- DOI
- https://doi.org/10.32604/cmes.2024.057774
- Citations
- 3
- Primary Topic
- Traffic Prediction and Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.80