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The problem of traffic flow prediction is the accurate estimation of traffic flow in a given region at a particular interval of time in the future. The issue of traffic flow prediction has complex non-linear spatio-temporal dependencies and dependencies on external factors such as weekends, holidays, weather, events, road conditions, and more.
Traffic Flow Prediction with Neural Networks (SAEs、LSTM、GRU). lstm gru traffic-flow-prediction saes. Updated on Aug 27, 2023. Python. zhiyongc / Graph_Convolutional_LSTM. Star 369. Code. Issues. Pull requests. Traffic Graph Convolutional Recurrent Neural Network.
9 de mar. de 2023 · ITS aims to resolve many traffic issues, such as traffic congestion issues. Recently, new traffic flow prediction models and frameworks have been rapidly developed in tandem with the introduction of artificial intelligence approaches to improve the accuracy of traffic flow prediction.
10 de feb. de 2021 · Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic prediction can assist route planing, guide vehicle dispatching Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions | IEEE Journals & Magazine | IEEE Xplore
1 de sept. de 2022 · In this review study, (i) the smart techniques used for the analysis of mobility data in the prediction of traffic flow in urban areas are grouped, likewise, (ii) the results of implementing said techniques are shown, in addition, (iii) The procedures performed are described and analyzed to understand the benefits and limitations of these smart ...
19 de nov. de 2022 · A traffic flow prediction model is established. An intelligent decision-making method is given, and a coordinated optimization method for regional traffic is also given.
In this paper, we propose a novel approach, Traffic Flow Prediction LLM (TF-LLM), which leverages large language models (LLMs) to generate interpretable traffic flow predictions. By transferring multi-modal traffic data into natural language descriptions, TF-LLM captures complex spatial-temporal patterns and external factors such as weather ...
