… defects in traffic flow prediction. In this paper, we propose a long-term traffic flow prediction
method … The traffic network is modeled by dynamic traffic flow probability graphs, and graph …

… Data-driven traffic prediction has attracted much research effort in the past decade. In this …
work of traffic prediction with an emphasis on recent long-term traffic speed and flow prediction …

… for highly accurate prediction. The key work of this paper can be generalized as follows: 1)
We apply type-2 fuzzy sets theory in long-term traffic volume predictions. Simulation results …

… speed data into a series of static images from which traffic predictions were made. In spite of
… traffic during short-term and long-term time horizons. Furthermore, in long-term predictions, …

… In this paper, we explore the task of long-term traffic prediction; where we predict traffic up to
… on recurrent structures–for long-term traffic prediction and propose a modified Transformer …

… on traffic prediction also has a long history. In the past few decades, many researchers turned
their attention to short-term traffic prediction. … of traffic flow, short-term traffic prediction will …

… the short-term traffic prediction performance on freeways … under different network and traffic
condition settings. The approach … a longterm memory component, in addition to the short-term …

… , short-term traffic prediction models should be responsive to the dynamic nature of traffic …
the online implementation of a short-term traffic prediction model on the 62.5 km corridor of …

… Short-term traffic prediction (STTP) is one of the most critical capabilities in Intelligent
Transportation Systems (ITS), which can be used to support driving decisions, alleviate traffic … …

… traffic flow. Furthermore, the volatile component ensures the accuracy of single-step prediction
… promising abilities in improving the multi-step prediction accuracy of short-term traffic flow. …