基于离散时间信号相关性的交通事件检测算法

提出了基于离散时间信号相关性的自动交通事件检测算法。将交通信息数据转化为离散时间信号并进行相关性计算处理，有效定位通过上、下游截面的同一组交通流。解释了相关系数的特征，并采用仿真数据进行性能验证。结果表明：基于离散时间信号相关性的自动交通事件检测算法具有可视性且易于理解，在低饱和交通环境下表现依然稳健，具有很好的适应性。
An automatic traffic incident detection algorithm based on discrete time signal correlation was proposed. Traffic information data were converted to discrete-time signals and the correlation was calculated to locate the same traffic stream passing the upper and lower sections. The characteristics of correlation coefficients was explained. The results show that the algorithm is visual and easy to understand. The algorithm performs well under low-saturated traffic conditions and has better adaptability