A deep learning approach to predicting vehicle trajectories in complex road networks
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41060-024-00575-0.pdf
Reference52 articles.
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3. Li, H., Wang, X., Su, X., Wang, Y.: Improved gaussian mixture probabilistic model for pedestrian trajectory prediction of autonomous vehicle. Recent Patents Mech. Eng. 17(1), 65–75 (2024). https://doi.org/10.2174/0122127976268211231110055647
4. Yuan, H., Li, G.: A survey of traffic prediction: from spatio-temporal data to intelligent transportation. Data Sci. Eng. 6(1), 63–85 (2021). https://doi.org/10.1007/s41019-020-00151-z
5. Owais, M.: Deep learning for integrated origin-destination estimation and traffic sensor location problems. IEEE Trans. Intell. Transp. Syst. (2024). https://doi.org/10.1109/TITS.2023.3344533
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