提出了一种新的动态交通拥挤预测模型。
This paper proposes a new dynamic traffic congestion prediction model.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
合理的投资决策需要对未来中国交通拥挤的都市进行出行预测。
Wise investment decisions require forecasts of future urban travel in China's congested cities.
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