traffic-forecasting topic
traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Bigscity-LibCity-PaperList
Paper list in traffic prediction field
Spatio-Temporal-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
TrafficFlowForecasting
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
Awesome-Traffic-Prediction
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
BasicTS
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
TrendGCN
[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
ST-SSL
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction