Zhang, J., Deng, C., Yang, L. et al. A scalable and generic framework for city-wide traffic prediction with large language model
Objective:
- Propose a LLM-based scalable and generic city-wide urban traffic prediction framework for short-term flow prediction
Case:
- 29 cities
Methodology:
- LLM
Data Source
- Bikesharing
- Metro
Findings:
