摘要
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。
For urban traffic management and city planing, on-line real-time accurate auto-matic detection of bicycles flow is very important- However, to develop a reliable bicycles flow detecting device, as know, is still a knotty Problem needed to be solved. In this paper, the dy- namic difference frequency method with Pattern Recognition (PR) technique by using induc-tive loop is presented. The basic principle, the recognition models and the testing results of the detecting system for bicycles flow are given. The detecting system based on this method is op-erating on an intersection for more than 3 years and the results are satisfactory.
出处
《电子测量与仪器学报》
CSCD
1997年第2期22-28,共7页
Journal of Electronic Measurement and Instrumentation
关键词
交通流
自行车群体流
动态频差
在线实时测量
Bicycles folw
Dynamic difference frequency
Pattem recognition(PR)
Measure on-line and real-time
