基于移动通信网络数据的城市交通出行群体行为研究

项目名称： 基于移动通信网络数据的城市交通出行群体行为研究

项目编号： No.71271204

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 管理科学

项目作者： 郭田德

作者单位： 中国科学院大学

项目金额： 55万元

中文摘要： 在项目组前期与移动公司共同研究并建立的高精度传播模型和高精度三维覆盖地图的基础上，通过移动公司提供的某确定城市的移动通信网络数据，研究城市手机用户交通出行群体行为，从而为交通网络设计、交通网络规划与交通网络调整等提出科学建议。本项目主要有三部分研究内容：一、利用基站切换数据和话务数据生成高精度实时的话务气象云图，利用聚类分析、模式匹配等方法识别话务热点的小区作为交通行为分析群体的空间对象；二、通过话务热点的手机用户的基站切换数据，研究出行人员行为的迁徙特征，建立用户分布的相关模型，从而分析群体交通出行行为，建立交通拥挤时间段的交通流模型。三、根据上述研究，对城市交通流生成、空间分布及其演化规律建立相关模型，完成对人、车、路和管理的综合交通研究。

中文关键词： 移动通信网络；MR数据；传播模型；群体迁移行为；模式识别

英文摘要： On basis of the establishment of high accuracy propagation model and high-precision three-dimensional coverage map afer a joint research with mobile companies, and on basis of the research of urban mobile phone users' transpotation group behavior with the help of mobile companies which provide some certain cities' mobile communications network data, we put forward some scientific advice to transportation network design, transportation network planning and transportation network adjustment. This project has three main parts: first, we generate high-precision real-time traffic weather maps by use of the base station switching data and traffic data.Thus we identify traffic hot spots district as the space objects of traffic behavior analysis of a group by use of cluster analysis and pattern matching methods. Second, , we study migration characteristics of the travel staff behavior through the base station switching data of traffic hot spots mobile phone users and establish user distribution model in order to analyze the group transportation travel behavior and then create traffic flow model in traffic congestion time. Finally, since we have given the model on urban traffic flow generation, spatial distribution and its evolution, we accomplish the comprehensive traffic study for people, vehicles, roads and managemen

英文关键词： mobile communication network；MR data；transmission model；group migration behavior；pattern recognition