MS-ResCnet: A combined spatiotemporal modeling and multi-scale fusion network for taxi demand prediction

Author:

Ding FeiORCID,Zhu YueORCID,Yin Qi,Cai Yujing,Zhang Dengyin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. Deep multi-view spatial-temporal network for taxi demand prediction;Yao,2018

2. Revisiting spatial-temporal similarity: a deep learning framework for traffic prediction;Yao,2019

3. Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting;Yu,2018

4. Traffic flow estimation at error prone locations using dynamic traffic flow modeling;Fulari;Transp Lett,2019

5. Traffic flow prediction with big data: a deep learning approach;Lv;IEEE Trans Intell Transp Syst,2015

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