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本文提出了一种利用环形线圈（ILD）采用动态频差法配合模式识别（PR）技术实现对自行车群体流自动检测的方法。讨论了该方法的基本原理、识别模型及据此方法研制成的在线实时智能式自行车群体流量测量仪的试验结果，其测量准确度达85％以上，数据以5秒时间间隔存入内存或上位机。此样机在现场连续运行3年多，已获满意结果。
This paper presents a method of automatic detection of bicycle population flow by using loop frequency coil (ILD) with dynamic frequency difference method and pattern recognition (PR) technique. The basic principle of this method is discussed, and the experimental results of the identification model and the online real-time intelligent bicycle group flowmeter developed by the method are measured. The measurement accuracy is over 85%, and the data is stored in the memory or supervisor at 5 second intervals machine. This prototype in the field for more than 3 years of continuous operation, has been satisfactory results.