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考虑到电梯交通流本身所存在的非线性、复杂性和随机性，提出了一种基于小波支持向量机的电梯交通流预测模型。
Considering the nonlinearity, complexity and randomicity of elevator traffic flow, the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.
所提出的交通流模型能够充分发挥智能体的自治性和相互协作性，体现我国城域混合交通流的复杂性特点。
The traffic flow model can fully exert agent's autonomy and cooperation to show the complicated trait of mixed-traffic.
新算法充分考虑了交通流状态的复杂性，采用隶属度的概念描述交通流的具体形态。
The new algorithm has full consideration for complexity of the traffic flow, using membership to describe the specific traffic flow patterns.
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