With this model, the elasticity factor of the rotation volume of passenger transportation will be developed.
运用此模型，对我国公路客运周转量的弹性系数进行了应用研究。
This article establish a forecast model of passenger volume in the public transportation by combine with gray system estimate and the BP networks model.
本文将BP网络模型与灰色系统预测方法相结合，建立了公交客流量预测模型。
The larger the traffic volume on the specific circuit is, the higher the density of passenger traffic, freight transportation, the lower the average transportation cost is.
特定线路上的运输量越大，客运密度、货运密度越高，平均运输成本就越低。
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