基于移动网数据的城市交通分析研究

Urban Traffic Analysis Based on Mobile Network Data

传统的智慧交通数据采集方式,包括交通调查、定点监测、摄像机摄像等,技术成熟且精度较高,然而其缺点也非常明显,采集范围小、成本高、施工周期长。而电信行业的大数据具有实时性强、数据量大、覆盖人群广、成本低廉、信息丰富等特点,可为城际交通和市内交通提供丰富的数据支持。基于移动网用户侧计费账单、计费详单以及XDR数据,给出了典型交通应用场景下的分析方法及应用案例。

Traditional data collection methods of intelligent traffic,including traffic survey,fixed-point monitoring,cameras,etc.,are mature and have high precision. However,their shortcomings are also obvious. The collection range is small,the cost is high,and the construction period is long. The big data in the telecom industry has the characteristics of strong real-time,large amount of data,wide coverage,low cost and rich information,which can provide rich data support for inter-city traffic and intra-city traffic. Based on the user data billing,user billing details and XDR data,it presents the analysis methods and application cases under typical traffic application scenarios.