Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network

Author:

Jin Guangyin,Cui Yan,Zeng Liang,Tang Hanbo,Feng Yanghe,Huang Jincai

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference57 articles.

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2. Bruna, J., Zaremba, W., Szlam, A., LeCun, Y., 2013. Spectral networks and locally connected networks on graphs, arXiv preprint arXiv:1312.6203 (2013).

3. C.B.R. Institute, In the year of 2018, the number of cars in the country was 240 million: small cars exceeded 200 million for the first time, 2019. .

4. Bike flow prediction with multi-graph convolutional networks;Chai,2018

5. Xgboost: A scalable tree boosting system;Chen,2016

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