该光流算法在行车环境传感、交通流分析中具有潜在的应用价值。
It can be expected that this algorithm will be of potential application in driving environment sensing and traffic flow analysis.
本文运用计算机科学领域中的数据挖掘技术，提出了一个城市区域交通流分析预测模型。
In this paper, an analytic and predicting model for urban region traffic flow status is presented by using several data mining technologies.
他们分析了道路网中司机可以使用的246种不同的路线，并计算了出了各个路线的交通流量，最后得出一个“混乱率”。
They analysed 246 different links in the road network thatcould be used for the journey and calculated traffic flows at different volumesto produce what they call a “price of anarchy” (POA).
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