The result also shows that RBF neural network laser fluorescence spectra data analysis identification model get the best perform in velocity, the average training time is 5.547 seconds.

神经网络方面，RBF神经网络激光荧光光谱分析识别模型的速度最快，平均训练时间为5.547秒。

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Then the paper presents a software framework for automatic identification of traffic situations, along with detailed analysis on real- time calculation module for average travel speed estimation.

设计了交通状态自动判别 软件构架，对平均行程车速实时估 计算法模块进行了详细分析。

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This paper proposes a method for the real time identification and tracking of freeway traffic queues. The method consists of the three algorithms: (1) Average Link Speed Algorithm;

提出的自动判定和实时跟踪高速公路常发性拥挤路段的方法包含3个算法：①路段平均车速算法；

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