Traffic State Estimation with A multi-head Attention-based Transformer by Spatio-Temporal Autoencoding Transformer (STAT Model)
Ali Reza Sattarzadeh,
Pubudu N. Pathiran,
Van. Thanh Huynh
Abstract:Traffic state estimation is an essential component of Intelligent Transportation System (ITS) designed for alleviating traffic congestions. As traffic data is composed of intricate information which can also be impacted by various factors, scholars have been attempting to utilize state-of-the-art deep learning forecasting models in recent years. However, a more complex and robust model is required to extract long-range correlations with large-scale traffic data sequences. In order to overcome the weaknesses of… Show more
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