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Hace 1 día · Accurate traffic flow prediction plays a crucial role in the development of intelligent traffic management. Despite numerous investigations into spatio-temporal methods, achieving high accuracy in traffic flow prediction remains challenging. This challenge arises from the complex dynamic spatio-temporal correlations within the traffic road network and the limitations imposed by the selection ...
Hace 4 días · Hence, the article 17 discusses the prediction and modeling of traffic flow of human-driven vehicles at a signalized street intersection using an artificial neural network model.
Hace 10 horas · 6 Commuter Benefits. As a commuter, AI's role in traffic flow prediction directly benefits your daily life. You experience less stress and unpredictability while commuting as AI-powered apps ...
Hace 10 horas · Aprendizaje automático (ML), un subconjunto de la IA, es particularmente hábil para mejorar las predicciones de flujo de tráfico. Los algoritmos de ML pueden aprender de los patrones de tráfico pasados para predecir la congestión futura con una precisión cada vez mayor.
Hace 1 día · View PDF Abstract: This study develops FusionTransNet, a framework designed for Origin-Destination (OD) flow predictions within smart and multimodal urban transportation systems. Urban transportation complexity arises from the spatiotemporal interactions among various traffic modes. Motivated by analyzing multimodal data from Shenzhen, a framework that can dissect complicated spatiotemporal ...
Hace 1 día · Traffic prediction is one of the important research directions in Intelligent Transportation Systems, with positive implications for vehicle dispatching and vehicle management. In reality, due to the unreliability of data transmission and the volatility of storage devices, data sparsity limits the stability and prediction performance of existing methods that rely on high-quality observed data ...
Hace 4 días · Additionally, studies have approached air traffic flow prediction from the perspective of air traffic flow networks. For instance, in enroute airspace, a dynamic network-based approach has been employed to achieve short-term air traffic flow prediction, characterizing the topological structure of airspace and the dynamics of air traffic flow .
