Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics

Wei Zeng, Chengqiao Lin, Juncong Lin +4

Deep learning methods are being increasingly used for urban traffic prediction where spatiotemporal traffic data is aggregated into sequentially organized matrices that are then fe…