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GE-GAN: A novel deep learning framework for road traffic state estimation
基于卡口实时过车数据进行交通流量的实时预测分析,使用LSTM循环神经网络模型进行融合预测,准确率达到90%以上。
交通流量多模型预测
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
城市交通道路流量预测
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