国际中文开源期刊平台

基于事件特征来检测交通事件的监测系统

A traffic incident monitoring system based on incident characteristics

现代交通技术前沿 / 2020,2(1)：25-33  / 2020-05-08 2212 3652

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• 作者： 唐琳     
• 单位：

  南京交通职业技术学院，南京

• 关键词： 事件检测；交通测量；智能交通系统；车辆特征值
• Incident detection; Traffic measurement; Intelligent transportation system; Vehicle features
• 摘要： 提出一种基于事件特征来检测交通事件的监测系统。系统选取 3 个特 征值，交通流、车辆角度和车辆加速度。从 CCD 摄像头获取图像序列之后做车 辆检测，提取车辆移动方向、交通流和车辆加速度来获得检测结果。该方法通 过计算得到正确率 97.8%，误报率 1.02%，检测时间只要 30s。结果表明，该方法 比检测效果更好。
• An incident detection system is proposed based on three incident features: traffic flow, vehicle angle and vehicle acceleration. The first step after image sequences acquisition from the video image of CCD camera is vehicle detection, and then the incident features such as direction of the moving vehicles, traffic flow and the acceleration are extracted in order to achieve the detection results. This process gives the best result by total 97.8% of correct rate and 1.02% of false alarm rate within 30 s. The result shows that this method has a good effect.
• DOI： https://doi.org/10.35534/amtt.0201004c
• 引用： 唐琳．基于事件特征来检测交通事件的监测系统［J］．现代交通技术前沿，2020，2（1）：25-33．