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A method, device, system and processor for mining user travel patterns

A travel mode and user technology, applied in the field of data processing, can solve problems such as inaccurate mining of user travel modes.

Active Publication Date: 2021-05-07
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Based on the above technical problems, this application provides a method, device, system and processor for mining user travel patterns to solve the problem of inaccurate mining of user travel patterns

Method used

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  • A method, device, system and processor for mining user travel patterns
  • A method, device, system and processor for mining user travel patterns
  • A method, device, system and processor for mining user travel patterns

Examples

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Embodiment 1

[0072] see figure 1 , which is a flow chart of a method for mining travel patterns of users provided in an embodiment of the present application.

[0073] Such as figure 1 As shown, the mining method of the user travel pattern provided in this embodiment includes:

[0074] Step 101: Extract interest points from the user's driving itinerary, where the interest points include the starting point and the end point of the driving itinerary.

[0075] As a possible implementation manner, in this step, the user's mobile terminal may be used to determine the starting point and the ending point of the driving trip. A mobile terminal may be any mobile or portable electronic device, including but not limited to a smart phone, a mobile computer, a tablet computer, a personal digital assistant (English: Personal Digital Assistant, abbreviation: PDA), a media player, and the like. It can be understood that various sensors, such as a gyroscope, are installed on the mobile terminal, so the ...

Embodiment 2

[0102] see image 3 , which is a flow chart of another method for mining travel patterns of users provided in the embodiment of the present application.

[0103] Such as image 3 As shown, the mining method of the user travel pattern provided in this embodiment includes:

[0104] Step 301: Extract interest points from the user's driving itinerary, where the interest points include the starting point and the end point of the driving itinerary.

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Abstract

The present application discloses a method, device, system and processor for mining user travel patterns. The method includes: extracting points of interest from the user's driving itinerary, where the points of interest include the starting point and end point of the driving itinerary; determining the corresponding interest points according to the points of interest Area; Semantic labeling of the interest area; the semantics of all interest points in the interest area are the same as the semantics of the interest area; generate a travel semantic sequence according to the semantics of the interest points in all driving trips within the preset time period; the preset time period includes At least one driving itinerary; the user's travel pattern is mined according to all travel semantic sequences of the user within a preset mining period, and the length of the preset mining period is greater than a preset time period. This method can ensure the semantic consistency of each POI in the same ROI, and avoid POI recognition bias caused by inconsistent vehicle parking positions in multiple driving trips. Therefore, the accuracy of mining the user's travel pattern is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a method, device, system and processor for mining travel patterns of users. Background technique [0002] With the increasing travel needs of people, location-capable smart devices are widely used, such as smart phones and smart wearable devices with location functions. The user's location data can be obtained by using a positionable smart device, and the user's travel trajectory can be formed accordingly based on multiple location data. [0003] Mining the user's travel trajectory to obtain the user's travel mode is a current research hotspot. Because the travel trajectory contains a wealth of information, such as the user's movement patterns and traffic conditions. The mining of travel trajectories has many applications. For example, if the user’s frequent travel route is known, the user can be notified of the road conditions of the route in advance. If ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/29G06F16/36
CPCG06F16/29G06F16/36
Inventor 徐丽丽苗英辉刘婕妤
Owner NEUSOFT CORP
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