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

机译:时域交叉相关的应用与分析交通流量测量

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摘要

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见方法。它们快速准确,但仅测量瞬时速度而不是交通流量的速度。因此,它们不适合帮助确定繁忙的交通程度。介绍了一种基于时域交叉相关的视频的交通流量测量方法。它提供了“流量速度”,一个更好的参数确定是否存在交通堵塞或者在观察到的情况下如何覆盖该道路。关于“假峰”问题,序列长度的效果呈现相关结果,与用于计算精确且大约的正常序列长度的公式一起呈现。测试结果证明了在提高交叉相关结果和适合于估计道路繁忙程度的良好精度的序列长度的缩写。

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