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。
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.
作者
徐丰力
李勇
XU Fengli;LI Yong(Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)
出处
《通信学报》
EI
CSCD
北大核心
2020年第7期18-28,共11页
Journal on Communications
基金
国家重点研发计划基金资助项目(No.SQ2018YFB180012)
国家自然科学基金资助项目(No.61971267,No.61972223,No.61861136003,No.61621091)
北京市自然科学基金资助项目(No.L182038)。