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Traffic flow prediction is an essential part of the intelligent transport system. This is the accurate estimation of traffic flow in a given region at a particular interval of time in the future. The study of traffic forecasting is useful in mitigating congestion and make safer and cost-efficient travel. While traditional models use shallow ...
9 de mar. de 2023 · In recent decades, the demand for the development of ITS-based solutions for precise traffic prediction and mobility management has increased as cities have gotten increasingly crowded and congested [].ITS is an advanced technology for delivering transportation by utilizing advanced data communication technologies through the integration of communications, computers, information, and other ...
19 de nov. de 2022 · At the same time, compared with other existing prediction methods, the prediction model presented in this paper not only has higher accuracy, shorter prediction time and stronger anti-interference ...
23 de dic. de 2021 · 2. The Improved CEEMDAN-FE-TCN Model Inthispaper,animprovedCEEMDAN-FE-TCNmodelis constructed for highway traffic flow prediction, which contains three modules: improved CEEMDAN decompo-sition,FEcalculation,andTCNprediction. TCN is applied as the core module to predict the highway traffic flow. As a new neural network with a
9 de oct. de 2020 · An improved hybrid predicting model including two steps: decomposition and prediction to predict highway traffic flow is proposed including the improved weighted permutation entropy (IWPE) to obtain new reconstructed components. For intelligent transportation systems (ITSs), reliable and accurate real-time traffic flow prediction is an important step and a necessary prerequisite for ...
7 de jul. de 2020 · Traffic prediction is a vital part of intelligent transportation systems. The ability of traffic risk prediction is of great significance to prevent traffic accidents and reduce the damages in a proactive way. Because of the complexity, uncertainty and dynamics of spatiotemporal dependence of traffic flow, accurate traffic state prediction becomes a challenging issue. Most neural networks are ...
2023 marks the 25th anniversary of the release of the first version of the Traffic Noise Model (TNM 1.0) in January of 1998. Please join us in marking the 25th anniversary of this model and in commemorating the hard work of everyone involved in its development, maintenance, and daily use.
