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PEMS-BAY, METR-LA and PEMS07
PEMS-BAY, METR-LA and PEMS07 are three public traffic datasets used for evaluating the performance of the proposed model. -
ST-GIN: An Uncertainty Quantification Approach in Traffic Data
Traffic data serves as a fundamental component in both research and applications within intelligent transportation systems. However, real-world transportation data, collected... -
METR-LA dataset
The METR-LA dataset contains speed profiles, given in miles per hour (mph), of 207 sensor locations collected from the loop detector on the highways of Los Angeles County. -
Spatio-Temporal Graph Convolutional Networks
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting -
Diffusion Convolutional Recurrent Neural Network
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting -
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Spatial-temporal graph modeling is an important task to analyze the spatial relations and temporal trends of components in a system. Existing approaches mostly capture the...
