Project Details
Chinese Project Title
一種高性能分佈式基於圖的流數據機器學習框架及其在智慧城市中的應用
| Status | Finished |
|---|---|
| Effective start/end date | 1/12/20 → 30/11/25 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 11 Sustainable Cities and Communities
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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A macro–micro spatio-temporal neural network for traffic prediction
Feng, S., Wei, S., Zhang, J., Li, Y., Ke, J., Chen, G., Zheng, Y. & Yang, H., Nov 2023, In: Transportation Research Part C: Emerging Technologies. 156, 104331.Research output: Contribution to journal › Journal Article › peer-review
27 Link opens in a new tab Citations (Scopus) -
A non-local grouping tensor train decomposition model for travel demand analysis concerning categorical independent variables
Zhu, Z., Xu, M., Wang, K., Lei, C., Xia, Y. & Chen, X., Dec 2023, In: Transportation Research Part C: Emerging Technologies. 157, 104396.Research output: Contribution to journal › Journal Article › peer-review
3 Link opens in a new tab Citations (Scopus) -
Booking cum rationing strategy for equitable travel demand management in road networks
Li, X., Yang, H. & Ke, J., Jan 2023, In: Transportation Research Part B: Methodological. 167, p. 261-274 14 p.Research output: Contribution to journal › Journal Article › peer-review
14 Link opens in a new tab Citations (Scopus)