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提出了基于模糊神经网络技术的信号交又口交通量滚动预测模型。该模型的主要特点是交叉口交通量变化的规律可以利用模糊神经网络在线学习得到 ,因此该模型具有计算简单 ,能够不断积累经验的优点。通过仿真算例研究了该模型的实用性
A rolling forecasting model of traffic volume based on fuzzy neural network is proposed. The main characteristic of the model is that the law of the traffic volume at the intersections can be obtained online by using the fuzzy neural network. Therefore, the model has the advantages of simple calculation and continuous accumulation of experience. The practicality of this model is studied by simulation examples