通信学报 ›› 2020, Vol. 41 ›› Issue (7): 18-28.doi: 10.11959/j.issn.1000-436x.2020147

• 专题:移动人工智能 • 上一篇    下一篇

城市环境下的用户移动行为建模概述

徐丰力,李勇   

  1. 清华大学电子工程系,北京 100084
  • 修回日期:2020-06-25 出版日期:2020-07-25 发布日期:2020-08-01
  • 作者简介:徐丰力(1993- ),男,广东深圳人,清华大学博士生,主要研究方向为移动数据挖掘、城市计算、数据隐私|李勇(1985- ),男,湖南长沙人,博士,清华大学副教授、博士生导师,主要研究方向为数据挖掘、城市计算、移动计算
  • 基金资助:
    国家重点研发计划基金资助项目(SQ2018YFB180012);国家自然科学基金资助项目(61971267);国家自然科学基金资助项目(61972223);国家自然科学基金资助项目(61861136003);国家自然科学基金资助项目(61621091);北京市自然科学基金资助项目(L182038)

Survey on user’s mobility behavior modelling in urban environment

Fengli XU,Yong LI   

  1. Department of Electronic Engineering,Tsinghua University,Beijing 100084,China
  • Revised:2020-06-25 Online:2020-07-25 Published:2020-08-01
  • Supported by:
    The National Key Research and Development Program of China(SQ2018YFB180012);The National Natural Science Foundation of China(61971267);The National Natural Science Foundation of China(61972223);The National Natural Science Foundation of China(61861136003);The National Natural Science Foundation of China(61621091);Beijing Natural Science Foundation(L182038)

摘要:

针对城市环境成为移动通信、交通调度、疾病防控等领域的典型场景,而用户的移动行为建模对这些关键领域有重要的应用与研究价值,梳理、总结城市环境下移动行为建模的研究进展与现状,为该领域的相关研究提供文献概述。首先讨论了城市环境移动行为建模问题面临的主要挑战及对应的核心科学问题,即移动行为数据增强算法、城市结构感知的移动行为模式识别、多时空尺度的移动行为预测模型和移动数据隐私保护机制问题。进一步地,围绕这些核心科学问题梳理总结了该领域近年来的发展脉络与最新研究成果,为未来的研究工作奠定了基础。

关键词: 移动数据, 移动建模, 数据挖掘, 隐私保护机制

Abstract:

Urban environment has become a typical scenario for areas of mobile communication,transportation scheduling,disease controlling and so on,and modelling user’s mobility behavior plays an important role in these key applications.The research development in this area was combed and summarized,which provided a literature review for related works.Firstly,the main challenges in urban mobility modelling were discussed as well as the corresponding key scientific problems,which included mobility data augmentation,urban structure-aware mobility behavior discovering,multi-scale mobility behavior prediction and mobility data privacy protection.Furthermore,according to these key scientific problems,the recent developments and up-to-date scientific output in this area were summarized,which paved the way for future research.

Key words: mobility data, mobility modelling, data mining, privacy mechanism

中图分类号: 

No Suggested Reading articles found!