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19 de nov. de 2022 · A traffic coordination optimization method is proposed. A traffic flow prediction model is established. An intelligent decision-making method is given, and a coordinated optimization method...
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Abstract. 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.
14 de dic. de 2022 · Highway traffic flow prediction model with multi-component spatial–temporal graph convolution networks | Scientific Reports. Article. Open access. Published: 14 December 2022. Highway...
9 de oct. de 2020 · highway traffic flow prediction; improved weighted permutation entropy; complete ensemble empirical mode decomposition with adaptive noise; machine learning; least-squares support vector machine (LSSVM); optimization model; gray wolf optimizer.
9 de mar. de 2023 · The suggested models predict traffic velocity under work zone conditions based on the volume of traffic approaching the work area, speed during normal conditions, work area capacity, distance from the work area, the vertical gradient of the road, downstream traffic volume, and type of highway section.
1 de dic. de 2022 · Traffic prediction plays a crucial role in alleviating traffic congestion which represents a critical problem globally, resulting in negative consequences such as lost hours of additional travel time and increased fuel consumption.
29 de abr. de 2020 · 64 Citations. Metrics. Abstract. The unpredictable elements involved in a vehicular traffic system, like human interaction and weather, lead to a very complicated, high-dimensional, nonlinear...
