Visual Analysis Method of Urban Regional Relationship Based on Trajectory Distribution Representation

A technology of urban area and distribution representation, applied in data processing applications, instruments, calculations, etc., can solve the problems that the interaction between position and flow behavior has not been effectively considered and analyzed, and the time attribute is missing and ignored, so as to ensure applicability and effect of effectiveness
CN113378891BActive Publication Date: 2022-03-29NORTHEAST NORMAL UNIVERSITY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NORTHEAST NORMAL UNIVERSITY
Publication Date
2022-03-29

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Abstract

The invention belongs to the technical field of data analysis and modeling, and discloses a visual analysis method for urban region relations based on trajectory distribution representation; a method for dividing urban regions based on trajectory data, which divides urban geographical space into appropriate regions, and converts the trajectory into regions. Aggregation flow among them; A regional vectorization model based on word embedding technology is proposed, considering the interaction between urban locations and moving objects, vectorized coding of urban regions, and exploring the differences of different regions in the trajectory according to the similarity between regions Location information and connection relationship; design and develop a visual analysis system for analyzing area vectors and exploring crowd movement patterns, based on the area vector space, and through the linkage mechanism of visual views, it supports analysts from global overview to local crowd movement patterns Analysis, and finally to the reasoning process of exploration of contextual details. Guarantee the applicability and effectiveness when assisting urban planners to make corresponding traffic decisions.
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Description

technical field

[0001] The invention belongs to the technical field of data analysis and modeling, and in particular relates to a visual analysis method for urban region relations based on trajectory distribution representation. Background technique

[0002] With the continuous development of location tracking technology, a large amount of spatiotemporal trajectory data in the city can be collected, and these spatiotemporal trajectories represent the movement of various moving objects, such as people and vehicles. A large amount of spatio-temporal trajectory data provides us with a lot of unprecedented information, and has been widely used in location-based social networks, intelligent transportation systems, and urban computing. technology development. Therefore, the data mining task for trajectory data has become an important research hotspot in the construction of smart cities. In terms of urban population mobility pattern exploration, it is particularly important for a...

Claims

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