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22 de sept. de 2021 · Typically, researchers evaluate traffic by creating a theoretical model that aims to capture as many aspects of real-life traffic as possible. We can differentiate the existing traffic models into macroscopic, mesoscopic, and microscopic models.
A traffic model is a mathematical model of real-world traffic, usually, but not restricted to, road traffic. Traffic modeling draws heavily on theoretical foundations like network theory and certain theories from physics like the kinematic wave model.
The field of Traffic Flow Prediction has seen the inception of hybrid models which aim to overcome the shortcomings of the state of the art models and also capitalize on their advantages. A Traffic Flow Forecasting Network (TFFNet) was proposed (Selvaraju, et al., Citation 2020 ) to predict short-term traffic flow.
19 de sept. de 2022 · In this research, we present a comprehensive literature review of the research related to traffic prediction and simulation models. We start by highlighting the challenges in the long-term and short-term prediction of traffic modeling. Then, we review the most common nonparametric prediction models.
