摘要
针对公路交通数据实时采集中的技术问题 ,提出了用多类型传感器检测交通参数和进行复杂车型分类的方法。叙述了一个实用的软件系统设计 ,探讨了多传感器检测数据的关联与融合、检测数据的归一化处理 ,实现了交通数据高精度测量和车型的精确分类。
A detailed scheme to detect parameters of transportation is proposed in this art icle. The multi-sensor vehicle detection and complex vehicle classification is discussed. The multi-sensor data correlation, fusion and unity are described. Thus, the accurate vehicle parameters are acquired. According to these parameter s the automatic vehicle classification system, where 9 types of vehicles are cla ssified, is realized. Therefore, this paper presents a scheme to supply the transportation data.
出处
《交通与计算机》
2005年第1期71-74,共4页
Computer and Communications
