Flow Prediction via Multi-view Spatial-Temporal Graph Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9297-1_7
Reference29 articles.
1. Abadi, A., Rajabioun, T., Ioannou, P.A.: Traffic flow prediction for road transportation networks with limited traffic data. IEEE Trans. Intell. Transp. Syst. 16(2), 653–662 (2015). https://doi.org/10.1109/TITS.2014.2337238
2. Ali, A., Zhu, Y., Zakarya, M.: Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction. Neural Netw. 145, 233–247 (2022). https://doi.org/10.1016/j.neunet.2021.10.021
3. Cascetta, E.: Estimation of trip matrices from traffic counts and survey data: a generalized least squares estimator. Transp. Res. Part B Methodol. 18(4), 289–299 (1984). https://doi.org/10.1016/0191-2615(84)90012-2
4. Djenouri, Y., Belhadi, A., Srivastava, G., Lin, J.C.W.: Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting. Futur. Gener. Comput. Syst. 139, 100–108 (2023). https://doi.org/10.1016/j.future.2022.09.018
5. Fan, Z., Song, X., Shibasaki, R., Adachi, R.: Citymomentum: an online approach for crowd behavior prediction at a citywide level. In: Mase, K., Langheinrich, M., Gatica-Perez, D., Gellersen, H., Choudhury, T., Yatani, K. (eds.) Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015, Osaka, Japan, 7–11 September 2015, pp. 559–569. ACM (2015). https://doi.org/10.1145/2750858.2804277
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