Traffic Flow Prediction in Data-Scarce Regions: A Transfer Learning Approach
Traffic flow prediction is a key component of intelligent transportation systems, particularly in data-scarce regions where traditional models relying on complete datasets often fail to provide accurate forecasts. These regio... | Find, read and cite all the research you need on Tech Science Press
Authors
- Ping Li (ORCID: https://orcid.org/0009-0005-8749-166X)
- Haocheng Sun (ORCID: https://orcid.org/0000-0003-2678-618X)
- Ying Li (ORCID: https://orcid.org/0000-0002-0438-449X)
Institutions
- Chang'an University (CN)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.063029
- Citations
- 3
- Primary Topic
- Traffic Prediction and Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.02
Funders
- National Natural Science Foundation of China