Smart City Gnosys

Smart city article details

Title	Visual Analytics On Big Data Of Urban Traffic Trajectories
ID_Doc	61256
Authors	Hao W.; Lin Z.; Shao Z.
Year	2019
Published	IOP Conference Series: Materials Science and Engineering, 688, 2
DOI	http://dx.doi.org/10.1088/1757-899X/688/2/022048
Abstract	With the rapid development of Smart city and Big data concepts and technologies, how to quickly and accurately organize and reflect traffic data information has become the main topic of current research for urban traffic trajectory big data with increasing geometric quantity. Traffic trajectory visualization is favored for its ability to visually and vividly reflect traffic trajectory information. In this paper, the main research results of visual analysis of urban traffic trajectories in recent years are summarized from three main methods: direct visualization, aggregate visualization and feature visualization. The problems and future prospects of urban traffic trajectory data visual analysis research are summarized. © 2019 IOP Publishing Ltd.
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