基于信令数据的交通出行分布异常检测

Abnormality Detection of Traffic Trip Distribution Based on Signaling Data

交通出行分布异常检测主要是通过判断交通的密度进行实时预警,以便交通部门能够快速发现问题、解决问题。首先基于大量移动用户的信令数据,利用DBSCAN算法进行交通出行异常检测,随后通过实验证明所用方法在交通出行的异常检测领域的良好时效性。

The abnormality detection of traffic trip distribution is mainly dependent on the judgment of traffic density for realtime alert.It facilitates traffic department to quickly find and solve problems.Firstly,based on large amounts of mobile users＇ signaling data,DBSCAN algorithm was used to detect abnormal traffic trip.Then,experiments were conducted to verify the real time of the presented method in the abnormality detection of traffic trip.