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。
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。
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；
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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