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Application and Analysis of Time Domain Cross Correlation for Traffic Flow Speed Measurement

机译:时域互相关在交通流速度测量中的应用与分析

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Radars are common means to measure vehicle speed. They are fast and accurate, however measure only instantaneous velocity not speed of the traffic flow. Therefore they are not suitable to help determine the busy degree of traffic. A novel method of traffic flow speed measurement using video based on time domain cross correlation is introduced. It provides "flow speed'', a much better parameter determining whether there is a traffic jam or how fast one can cover that road under the observed situation. With regard to the "False-Peak'' problem, effect of the sequence length on correlation result is presented, together with formulas used to calculate proper sequence length both accurately and approximately. Test results demonstrate the signification of sequence length on improving cross correlation result and good accuracy suitable for estimation of road busy degree.
机译:雷达是测量车速的常用方法。它们是快速而准确的,但是仅测量瞬时速度,而不测量交通流的速度。因此,它们不适合帮助确定交通繁忙程度。提出了一种基于时域互相关的视频流量测速新方法。它提供“流量速度”,这是一个更好的参数,用于确定在观察到的情况下是否存在交通拥堵或堵车的速度。对于“假高峰”问题,序列长度对给出了相关结果,以及用于准确和近似地计算适当序列长度的公式。测试结果表明,序列长度对改善互相关结果具有重要意义,并且具有良好的准确性,适合估算道路繁忙程度。

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    《》|2007年|274-279|共6页
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    Wang; Lichao; Lu; Qiyong; Chen; Xi;

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