本文从分析现行交通量检测的现状出发，提出了一种利用车辆声音信号进行交通量检测的新方法。
In this dissertation, according to the condition of current traffic volume detection, a new method of traffic volume detection with vehicle noise is presented.
为了解加利福尼亚州HOV系统的运行效果，基于交通量检测器收集的数据，对HOV系统进行全面分析、评价。
This is the most extensive empirical evaluation of the effectiveness of California's HOV system based on data collected from traffic sensors.
并且设计了车辆计数、速度测量、车道分钟交通量和车道时间占有率的算法，实现了交通流参数的检测。
Last algorithms are designed for flow flux statistic, unit time traffic load, vehicle speed and roadway occupancy rate. Traffic flow parameter detection is implemented.
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