LibCity: An Open Library for Urban Spatial-temporal Data Mining
-
Updated
Jul 15, 2024 - Python
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
A PyTorch implementation of T-GCN
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network(AFFGCN)
This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
Predict traffic flow by affinity propagation clustering and LSTM
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
Pytorch implementation of Spatio-temporal Differential Equation Network (STDEN).
This project is intended to create, develop and tune a neural network to predict traffic flow. The data provided was intended to be a list of log records written every 1 hour about the city of Braga, Portugal containing information about temperature, humidity, rain, traffic flow, etc. The data was incomplete, days were missing, there were hour g…
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
2022年讯飞开发者大赛-考虑时空依赖及全局要素的城市道路交通流量预测挑战赛-Top3解决方案
Add a description, image, and links to the traffic-flow-prediction topic page so that developers can more easily learn about it.
To associate your repository with the traffic-flow-prediction topic, visit your repo's landing page and select "manage topics."