基于磁传感器的道路车流量检测方法研究
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南京理工大学 机械工程学院 南京 210094

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TP391.7

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Research on detection method of road traffic flow based on magnetic sensor
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    摘要:

    地磁车辆检测系统是利用检测地磁变化来获取相关的交通信息,针对现有地磁车辆检测设备存在基线漂移、交通车流量正确检测率不稳定以及环境干扰导致的设备误检等实际问题,提出基于有限状态机的地磁车辆检测系统。该系统利用磁传感器采集磁场原始信号,由嵌入式程序对原始信号进行预处理,并由上位机采用以状态机判断为主的算法,将车辆检测的过程分为多个状态,包括无车、波形初变、拟驶入、有车、拟驶离、波形趋稳六个状态;并在各个状态执行相应的任务,包括基线跟踪与更新、采样点计数等,检测算法的正确率达97%以上。

    Abstract:

    The geomagnetic vehicle detection system uses the detection of geomagnetic changes to obtain relevant traffic information. In view of the actual problems of existing geomagnetic vehicle detection equipment, such as baseline drift, unstable correct detection rate of traffic flow, and equipment mis-detection caused by environmental interference, a geomagnetic vehicle detection system based on finite state machine is proposed. The system uses magnetic sensor to collect the original signal of magnetic field, pre-process the original signal by embedded program. The upper computer adopts the algorithm based on the judgment of the state machine to divide the vehicle detection process into several states, including no vehicle, initial change of waveform, quasi-entering, vehicular, quasi-leaving and waveform stabilizing six states. In order to improve the accuracy of detection algorithm, corresponding tasks are performed in each state, including baseline tracking and updating, sampling point counting and so on. The accuracy of the detection algorithm is over 97%.

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  • 收稿日期:2019-06-10
  • 最后修改日期:2019-07-29
  • 录用日期:2019-08-07
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