Code

Github: https://github.com/SuminHan/Traffic-UAGCRNTF We share our code for deep-learning research from Sumin Han, Youngjun Park, Minji Lee, Jisun An, and Dongman Lee, “Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis,” has been accepted to 32nd ACM International Conference on Information and Knowledge Management  Paper Code This code contains not only our proposed UAGCRN and UAGCTransformer, but …

Spatio-temporal Traffic Prediction Models (Keras) Read More »

We present pytorch implementation of the popular deep-learning models in the following git repository:Github: https://github.com/cdsnlab/demand-pytorch demand-pytorch Results We report MAE in Beijing taxi flow prediction dataset for each prediction steps. Model bj-flow (15 min) bj-flow (30 min) bj-flow (1 hour) ConvLSTM STResNet DeepSTN We report RMSE and MAPE in NYC taxi flow prediction dataset. Model …

Deep-learning Demand Prediction Models (Pytorch) Read More »