# Traffic Prediction and Management Techniques

**Type:** Topics  
**Canonical URL:** https://picoportal.org/library/topics/traffic-prediction-and-management-techniques/

## Facts

| Field | Value |
| --- | --- |
| Citations | 610,434 |
| Description | This cluster of papers focuses on the application of deep learning, neural networks, and spatio-temporal data analysis for traffic flow prediction and forecasting in urban environments. The research covers topics such as short-term forecasting, graph convolutional networks, time series analysis, and the integration of intelligent transportation systems. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | https://openalex.org/T11344 |
| Works | 76,000 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://picoportal.org/library/researchers/yoshua-bengio/)
- [Demis Hassabis](https://picoportal.org/library/researchers/demis-hassabis/)
- [Philip S. Yu](https://picoportal.org/library/researchers/philip-s-yu/)
- [Andrew Y. Ng](https://picoportal.org/library/researchers/andrew-y-ng/)
- [Rajkumar Buyya](https://picoportal.org/library/researchers/rajkumar-buyya/)
- [Qiang Yang](https://picoportal.org/library/researchers/qiang-yang/)
- [Dacheng Tao](https://picoportal.org/library/researchers/dacheng-tao/)
- [Xuemin Shen](https://picoportal.org/library/researchers/xuemin-shen/)
- [Clive W. J. Granger](https://picoportal.org/library/researchers/clive-w-j-granger/)
- [Hari Balakrishnan](https://picoportal.org/library/researchers/hari-balakrishnan/)
- [Dragomir Anguelov](https://picoportal.org/library/researchers/dragomir-anguelov/)
- [Witold Pedrycz](https://picoportal.org/library/researchers/witold-pedrycz/)

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Source: PICO Portal — public research metadata, principally OpenAlex. See https://picoportal.org/library/sources/ for provenance and https://picoportal.org/library/methodology/ for what these figures mean.