基于手机信令数据的游客识别与出行轨迹匹配方法

为统计旅游交通的客运量,分析公路交通运输需求,优化运输组织,合理构建“快进慢游”综合交通旅游网络,研究提出基于手机信令数据的游客识别与出行轨迹匹配方法。通过划定景区边界,设置停留时间阈值,识别手机用户的游客身份;同时,借助地图工具批量计算信令发生位置间的出行路线与行程时间,匹配实际公路网。实例分析结果表明,手机信令数据能呈现手机用户的出行轨迹,且信令数据的位置轨迹与公路线位走向结合密切。在人们越来越依赖地图导航软件规划出行路径的背景下,利用该方法能更准确地识别景区游客并估计游客往来景区的出行路径。

A Method of Tourist Identification and Travel Trajectory Matching Based on Mobile Signaling Data

In order to calculate the tourist volume undertaken by highways, analyze the travel demand of highways, optimize the transportation organization, and formulate the comprehensive transportation tourism network with the feature of "fast entrance and slow travel", a method of tourist identification and travel trajectory matching based on mobile signaling data was proposed. Tourist identification was able to be performed by delimiting the boundary of scenic area and setting the residence time threshold; meanwhile, the travel paths and time between the locations where the signaling data have occurred were predicted through map tools, and then the mapping process between the trajectories of mobile signaling data and the actual road network were completed. The results of an example illustrated that the travel trajectories of the mobile phone users could be presented through the mobile signaling data, and the position trajectory was close to the line position of the highway. As people increasingly rely on map navigation software to plan travel routes, tourist identification and travel route estimation could be better carried out by the proposed method.