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

[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting

[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"

[AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

A PyTorch implementation of T-GCN

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

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)

Traffic Prediction using LSTM method.

ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)

Predict traffic flow data by lstm in Keras

Predict traffic flow by affinity propagation clustering and LSTM

Pytorch implementation of Spatio-temporal Differential Equation Network (STDEN).

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

M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore

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…