Identification algorithms were developed in light of an analysis of the typical traffic congestion characteristics of the key congested segments and intersections.
通过分析重点拥堵点段具备的典型拥堵特征，针对每个特征分别设计了判别算法。
Traffic congestion identification technology is one of the important ways to grasp the status of city road congestion.
交通拥堵判别技术是及时掌握城市道路交通拥堵状况的重要方式之一。
In the modeling process, the wavelet transformation was used to extract the approximate components of travel speeds, which were used in the identification of periodical congestion characteristics.
在该过程中，本文利用了小波变换提取行程速度数据的近似成分并用于评价周期性拥堵特征。
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