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User travel mode mining method, device and system and processor

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: 2019-07-23
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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  • User travel mode mining method, device and system and processor
  • User travel mode mining method, device and system and processor
  • User travel mode mining method, device and system and processor

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 invention discloses a user travel mode mining method, device and system and a processor, and the method comprises the steps: extracting an interest point from a driving travel of a user, the interest point comprising a starting point and an end point of the driving travel; determining a corresponding interest area according to the interest point; carrying out semantic annotation on the regionof interest; wherein the semantics of all interest points in the interest area are the same as the semantics of the interest area to which the interest point belongs; generating a travel semantic sequence according to semantics of interest points in all driving travels in a preset time period; wherein the preset time period comprises at least one driving travel; and according to all travel semantic sequences of the user in a preset mining period, mining a travel mode of the user, wherein the length of the preset mining period is greater than a preset time period. According to the method, the semantic consistency of all interest points in the same interest area can be ensured, and interest point recognition deviation caused by vehicle parking position inconsistency in multiple driving travels is avoided. Therefore, the accuracy of user travel mode mining 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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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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