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23 de abr. de 2024 · To address the above issues, in this paper we propose a deep multi-view channel-wise spatial-temporal network model named MVC-STNet for traffic flow prediction. To model the different relations between various input channels representing traffic flow, road occupy and vehicle speed, and the prediction, channel-wise graph convolutional network (CGCN) is proposed.
26 de abr. de 2024 · Traffic flow prediction. Traffic flow prediction is to use the spatial–temporal data collected by road sensors to make as accurate a prediction as possible for the traffic state in...
14 de abr. de 2024 · Short-term traffic volume prediction is an important part of intelligent transportation applications and the key to supporting traffic management. Accurate prediction is essential for freeway management, highway management, ramp control, and variable speed limit systems.
23 de abr. de 2024 · Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction. Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang. Accurately forecasting traffic flows is critically important to many real applications including public safety and intelligent transportation systems.
26 de abr. de 2024 · We propose an innovative traffic flow prediction framework STA-Former, designed to accurately handle traffic flow information. The core of this framework consists of two dynamically generated mask matrices driven by data, enhancing the model’s ability to uncover potential spatial dependencies and better address the interaction ...
16 de abr. de 2024 · Traffic flow prediction is crucial for intelligent transportation systems. It has experienced signifi-cant advancements thanks to the power of deep learning in capturing latent patterns of traffic data. However, recent deep-learning architectures require intricate model designs and lack an intuitive
29 de abr. de 2024 · Traffic flow prediction using big data and deep learning attracts great attentions in recent years. Researchers show that DNN models can provide better traffic prediction accuracy than the traditional shallow models.
