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。
Traffic congestion identification technology is one of the important ways to grasp the status of city road congestion.
在交通拥堵判别算法方面，改进了传统的基于模糊综合判别的交通拥堵判别模型。
In the part of traffic congestion identification technology, we improved the traditional fuzzy clustering algorithm.
在分析拥堵的时空分布特征基础上，提出了原发性拥堵的判别方法。
The method to identify the primary congestion was proposed based on an analysis of characteristics of the spatial-temporal distribution of congestions.
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。
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。
Identification algorithms were developed in light of an analysis of the typical traffic congestion characteristics of the key congested segments and intersections.
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