Visual Analysis Method for Traffic Trajectory with Dynamic Topic Movement Patterns Based on the Improved Markov Decision Process

Visual Analysis Method for Traffic Trajectory with Dynamic Topic Movement Patterns Based on the Improved Markov Decision Process

The visual analysis of trajectory topics is helpful for mining potential trajectory patterns, but the traditional visual analysis method ignores the evolution of the temporal coherence of the topic. In this paper, a novel visual analysis method for dynamic topic analysis of traffic trajectory is pro...

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Bibliographic Details
Main Authors: Huarong Chen, Yadong Wu, Huaquan Tang, Jing Lei, Guijuan Wang, Weixin Zhao, Jing Liao, Fupan Wang, Zhong Wang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Electronics
Subjects:
trajectory topic model
Markov Decision Process
visual analysis
Online Access:https://www.mdpi.com/2079-9292/13/3/467

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https://www.mdpi.com/2079-9292/13/3/467

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