Call Detail Records (CDRs) coupled with the coverage area locations provide the operator with an incredible amount of information on its customers' whereabouts and movement. Due to the non-static and overlapping nature of the antenna coverage area there commonly exist situations where cellphones geographically close to each other can be connected to different antennas due to handover rule - the operator hands over a certain cellphone to another antenna to spread the load between antennas. Hence, this aspect introduces a ping-pong handover phenomena in the trajectories extracted from the CDR data which can be misleading in understanding the mobility pattern. To reconstruct accurate trajectories it is a must to reduce the number of those handovers appearing in the dataset. This letter presents a novel approach for filtering ping-pong handovers from CDR based trajectories. Primarily, the approach is based on anchors model utilizing different features and parameters extracted from the coverage areas and reconstructed trajectories mined from the CDR data. Using this methodology we can significantly reduce the ping-pong handover noise in the trajectories, which gives a more accurate reconstruction of the customers' movement pattern.
翻译:电话详细记录(CDR)加上覆盖区位置,为运营商提供了数量惊人的关于客户行踪和移动的信息。由于天线覆盖区的非静态和重叠性质,通常存在一种情况,即由于交接规则,在地理上相近的手机可以与不同的天线连接——操作员将某一个手机交给另一天线,以分散天线之间的负荷。因此,这一方面在从CDR数据提取的轨迹中引入了乒乓交接现象,这可能误导人们对移动模式的理解。为了重建准确的轨迹,它必须减少数据集中出现的这些交接次数。本信介绍了一种新颖的方法,用于过滤CDR基于轨迹的乒乓交接。该方法主要基于锚模型,利用从覆盖区提取的不同特征和参数以及从CDR数据中提取的重新形成的轨迹。使用这一方法,我们可以大大减少轨迹转移的噪音,从而更准确地重建客户的移动模式。