GPA: Uni-directional GRU-Based Traffic Prediction Model for Minimizing Air Pollution
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2611-0_7
Reference10 articles.
1. Rempe F, Franeck P, Bogenberger K (2022) On the estimation of traffic speeds with deep convolutional neural networks given probe data. Transp Res C, Emerg Technol 134
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3. Dey S, Pal S (2022) Federated learning-based air quality prediction for smart cities using BGRU model. In: Proceedings of the 28th annual international conference on mobile computing and networking, pp 871–873
4. Gao Y, Zhou C, Rong J, Wang Y, Liu S (2022) Short-term traffic speed forecasting using a deep learning method based on multitemporal traffic flow volume. IEEE Access 10:82384–82395
5. Feng Y, Wang S (2017) A forecast for bicycle rental demand based on random forests and multiple linear regression. In: Proceedings of the IEEE/ACIS 16th international conference on computational science and applications (ICIS), pp 101–105
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