摘要
为进一步提高高速公路交通事件检测的准确性,将人工神经网络应用于交通事件检测。提出一种基于BP神经网络的交通事件检测方法,设计了适合该检测系统的网络结构。仿真结果表明:相对于其他算法,该网络结构具有检测率高、误报率低、检测时间短的优点,完全适用于交通事件检测系统,同时也存在不足之处,指出了今后进一步研究的方向。
To further enhance the freeway traffic incident detection accuracy, the artificial neural network has been applied to traffic incident detection. The traffic incident detection method has been proposed based on BP neural network, and the appropriate network structure has been designed for the detection system. The simulation results show this network structure has many advantages such as high detection rate, low false alarm rate, short detection time, and so on compared to other algorithms. It is fully applicable to the traffic incident detection system, and there are also inadequate, which points out the future study interest.
出处
《中国测试》
CAS
2009年第2期48-52,共5页
China Measurement & Test
关键词
神经网络
BP算法
高速公路
交通事件
检测识别
Artificial neural network （ANN）
Back propagation algorithm
Highway
Traffic incident detection
Detection of recognition
