HIGHLIGHTS
- who: Zhi Liu and collaborators from the College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China have published the research work: Dynamic Multi-View Coupled Graph Convolution Network for Urban Travel Demand Forecasting, in the Journal: Electronics 2022, 11, 2620. of 25/05/2016
- what: To address these issues the authors propose an prediction framework based on convolution (DMV-GCN). The authors propose an urban travel demand forecasting framework based on a dynamic multi-view coupled graph convolutional network, which is able to model the complex spatio-temporal relationships in travel demand . . .
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