
Proposing the LSTTN framework for accurate traffic flow forecasting by integrating long- and short-term features.


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lsttn-long-short-term-transformer-based-spatio-temporal-neural-network-for-traffic-flow-forecasting


LSTTN: Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting


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The Spatial-Temporal Selective State Space Model (ST-SSMs) is an innovative framework that seamlessly integrates spatial and temporal data processing to deliver efficient and accurate traffic flow forecasts.


spatial-temporal-selective-state-space-model-for-efficient-and-accurate-traffic-flow-forecasting


Spatial-Temporal Selective State Space Model for Efficient and Accurate Traffic Flow Forecasting
