城市环境下的用户移动行为建模概述

徐丰力; 李勇

doi:10.11959/j.issn.1000-436x.2020147

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城市环境下的用户移动行为建模概述

专题：移动人工智能 | 更新时间：2024-06-05

- 城市环境下的用户移动行为建模概述
- Survey on user’s mobility behavior modelling in urban environment
- 通信学报 2020年41卷第7期页码：18-28
- 作者机构：
  
  清华大学电子工程系，北京 100084
- 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" ]
- 基金信息：
  
  国家重点研发计划基金资助项目;The National Key Research and Development Program of China(SQ2018YFB180012);国家自然科学基金资助项目;The National Natural Science Foundation of China(61971267);国家自然科学基金资助项目;The National Natural Science Foundation of China(61972223);国家自然科学基金资助项目;The National Natural Science Foundation of China(61861136003);国家自然科学基金资助项目;The National Natural Science Foundation of China(61621091);北京市自然科学基金资助项目;Beijing Natural Science Foundation(L182038)
- DOI：10.11959/j.issn.1000-436x.2020147
  中图分类号： TP181
- 网络首发：2020-07，
  
  纸质出版：2020-07-25
- 稿件说明：
移动端阅览
徐丰力, 李勇. 城市环境下的用户移动行为建模概述[J]. 通信学报, 2020,41(7):18-28.

Fengli XU, Yong LI. Survey on user’s mobility behavior modelling in urban environment[J]. Journal on Communications, 2020, 41(7): 18-28.
徐丰力, 李勇. 城市环境下的用户移动行为建模概述[J]. 通信学报, 2020,41(7):18-28. DOI： 10.11959/j.issn.1000-436x.2020147.

Fengli XU, Yong LI. Survey on user’s mobility behavior modelling in urban environment[J]. Journal on Communications, 2020, 41(7): 18-28. DOI： 10.11959/j.issn.1000-436x.2020147.

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。

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.

关键词

Keywords

references

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