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Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks
Mobility analysis is a crucial element in the research area of transportation systems.
SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory
Accurately predicting the destination of taxi trajectories can have various benefits for intelligent location-based services.
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting
The criticality of prompt and precise traffic forecasting in optimizing traffic flow management in Intelligent Transportation Systems (ITS) has drawn substantial scholarly focus.
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks
Traffic data serves as a fundamental component in both research and applications within intelligent transportation systems.
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