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How Accurate Are Turning Volume Counts Collected by Microwave Sensors?

机译:微波传感器收集的转弯体积计数有多准确?

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The Utah Department of Transportation has recently developed the Signal Performance Metrics System (SPMS) to evaluate the performance of signalized intersections dynamically. This system currently provides data summaries for several performance measures, one of them being turning movement volume counts. As this system became public, there was a need to evaluate the accuracy of the data collected by microwave sensors for the SPMS. UDOT considered first that sensor position, number of approach lanes, and volume level would affect the accuracy. Later, speed limit was added as another factor. Data were collected manually and compared with volume count data reported by the system. A Mixed Model Analysis of Variance was employed to analyze the effect of each factor on the accuracy of traffic volume counts. The volume level and number of approach lanes factors were found to have a statistically significant effect on the accuracy of traffic volume counts by microwave sensors.
机译:犹他州交通部最近开发了信号性能度量系统(SPMS),用于动态评估信号交叉口的性能。该系统当前提供几种性能指标的数据摘要,其中之一是转向运动量计数。随着该系统的公开,有必要评估用于SPMS的微波传感器收集的数据的准确性。 UDOT首先考虑到传感器的位置,进近车道的数量和体积水平会影响精度。后来,速度限制被添加为另一个因素。手动收集数据,并将其与系统报告的体积计数数据进行比较。采用方差混合模型分析来分析每个因素对交通量计数准确性的影响。发现进场车道因素的数量水平和数量对微波传感器对交通量计数的准确性具有统计学上的显着影响。

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