PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale
Traffic Forecasting
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale
Traffic Forecasting
In urban computing, precise and swift forecasting of multivariate time series data from traffic networks is crucial. This data incorporates additional spatial contexts such as sensor placements and road network layouts, and exhibits complex temporal patterns that amplify challenges for predictive learning in traffic management, smart mobility demand, and urban …