Author:
Xu Jinhua,Li Yuran,Lu Wenbo,Wu Shuai,Li Yan
Funder
National Natural Science Foundation of China
China Scholarship Council
Natural Science Basic Research Program of Shaanxi Province
Reference49 articles.
1. Trip end identification based on spatial-temporal clustering algorithm using smartphone positioning data;Yao;Expert Syst. Appl.,2022
2. Estimation and prediction of freeway traffic congestion propagation using tagged vehicle positioning data;Li;Transp. B: Transp. Dyn.,2024
3. Spatial-temporal synchronous graph convolutional networks: a new framework for spatial-temporal network data forecasting;Song;Proc. AAAI Conf. Artif. Intell.,2020
4. S. Guo, Y. Lin, N. Feng, C. Song, and H. Wan, Attention based spatial-temporal graph convolutional networks for traffic flow forecasting, presented at the Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, Hawaii, USA, 2019. [Online]. Available: 10.1609/aaai.v33i01.3301922.
5. Time series forecasting using a hybrid ARIMA and neural network model;Zhang;Neurocomputing, Artic.,2003