Vehicle Speed Prediction Based on Deep Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2757-5_5
Reference8 articles.
1. Zhang, Y.: Research on urban road traffic congestion problem in the context of big data. J. Mech. Electr. Inf. 29, 162–163 (2019). https://doi.org/10.19514/j.cnki.cn32-1628/tm.2019.29.092
2. Zhang, L., Zhang, J., Liu, D.: Neural network based vehicle speed prediction for specific urban driving. In: 2018 Chinese Automation Congress (CAC), pp. 1798–1803. IEEE (2018)
3. Gao, Z., Yang, X., Zhang, J., Lu, H., Xu, R., Diao, W.: Redundancy-reducing and holiday speed prediction based on highway traffic speed data. IEEE Access 7, 31535–31546 (2019)
4. Han, S., Zhang, F., Xi, J., Ren, Y., Xu, S.: Short-term vehicle speed prediction based on convolutional bidirectional LSTM networks. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 4055–4060. IEEE (2019)
5. Malaghan, V., Pawar, D.S., Dia, H.: Speed prediction models for heavy passenger vehicles on rural highways based on an instrumented vehicle study. Transp. Lett. 14(1), 39–48 (2022)
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