2019冠状病毒病疫情下2020年国庆人员流动模式分析

Yuan-yuan Chen, Yisheng Lv
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摘要

随着物联网、大数据、互联网+等新技术的快速发展,智能交通系统(Intelligent Transportation Systems,简称ITS)取得了令人瞩目的成就,智能交通系统的智能化程度也在不断提高,一个新的领域——“社会交通”正在兴起。在社会运输系统中,物理和网络元素紧密结合、协调,并与人类和社会特征相结合。本文通过收集和分析现实世界的交通数据和网络空间的社交媒体数据,感知新冠肺炎疫情下假期期间的人类流动模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobility Pattern Analysis during 2020 Chinese National Day under the COVID-19 pandemic
With the fast development of new technologies, such as Internet of Things, big data and Internet plus, Intelligent Transportation Systems (ITS) have made remarkable achievements and the intelligence in ITS has also been continuously increased, which a new field, i.e., "Social Transportation", is emerging. In social transportation systems, physical and cyber elements are tightly conjoined, coordinated, and integrated with human and social characteristics. In this paper, we collect and analyze traffic data from physical world and social media data from cyberspace to sense the human mobility patterns during holidays under the COVID-19 pandemic.
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