A Comparison of Deep Learning Methods for Urban Traffic Forecasting using Floating Car Data

Author:

Vázquez Juan José,Arjona Jamie,Linares MªPaz,Casanovas-Garcia Josep

Publisher

Elsevier BV

Reference12 articles.

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3. Cheng, X., Zhang, R., Zhou, J., & Xu, W. (2017). DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting. CoRR, abs/1709.0. Retrieved from http://arxiv.org/abs/1709.09585

4. Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. CoRR, abs/1406.1. Retrieved from http://arxiv.org/abs/1406.1078

5. Cui, Z., Henrickson, K., Ke, R., & Wang, Y. (2018). High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. Retrieved from http://arxiv.org/abs/1802.07007

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