Based on the error analysis of the algorithms based on average speed and average travel time, this paper promoted the urban traffic situation evaluation methods based on probe vehicle data.
本文在分别对基于平均速度和基于平均通过时间的算法误差分析的基础上，提出了基于浮动车技术的城市路况计算方法。
The method of stack velocity analysis based on relief surface presented in the paper uses double-square-root equation to compute the travel time of reflections, which is suitable to use in the area w.
本文提出的基于起伏地表的叠加速度分析方法，应用双平方根方程计算反射波的旅行时间，可适用于地形起伏剧烈地区。
Then, we make prediction with moving exponential average model after the analysis of the travel time series. Finally, we present reasonable justification.
通过分析行程时间时间序列的时变特性，利用指数平滑模型进行预测，最后提出合理的修正方法。
This paper proposes the urban traffic situation evaluation methods based on probe vehicle data, on the basis of the error analysis of the algorithms, given the average speed and average travel time.
本文在分别对基于平均速度和基于平均通过时间的算法误差分析的基础上，提出了基于浮动车技术的城市路况计算方法。
According to the limitations analysis for the conception of present travel time reliability, it was defined in this paper.
基于现有路段行程时间可靠性概念的局限性，提出新的路段行程时间可靠性定义。
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。
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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