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User portrait construction and clustering method based on multi-dimensional attributes

A technique of multi-dimensional attributes, clustering methods, applied in the fields of instruments, character and pattern recognition, computer parts, etc.

Active Publication Date: 2019-04-16
汉纳森(厦门)数据股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, there is still a lack of an effective method for detecting the behavior of drivers and bus drivers.

Method used

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  • User portrait construction and clustering method based on multi-dimensional attributes
  • User portrait construction and clustering method based on multi-dimensional attributes
  • User portrait construction and clustering method based on multi-dimensional attributes

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings. It should be noted that this embodiment is based on the technical solution, and provides detailed implementation and specific operation process, but the protection scope of the present invention is not limited to the present invention. Example.

[0029] Such as figure 1 As shown, this embodiment provides a method for constructing and clustering user portraits based on multidimensional attributes, including the following steps:

[0030] S1. Obtain the corresponding fields of the description information in the complete driving data of each trip in the bus, and organize the data of each field into a csv file;

[0031] Specifically, a CAN bus vehicle-mounted instrument can be used to record the driving data of the bus.

[0032] Can comprise the data of a lot of interval driving in the actual driving data, and what need in the method of this embodiment is each complete driv...

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Abstract

The invention discloses a user portrait construction and clustering method based on multi-dimensional attributes. The method comprises: preprocessing original data, and driver driving behavior characteristics are extracted; screening features by using a maximum correlation and minimum redundancy feature selection method based on mutual information; driver groups with similar driving behaviors areclustered into one class through similarity of the driving behaviors of the drivers and a network structure analysis technology, a radar map is adopted to carry out user portraying on driving preferences of the drivers from different dimensions, and finally factors influencing the driving behaviors are analyzed. The driving behavior preference of the driver can be effectively reflected, the drivercan know the driving habit needing to be improved by himself / herself, and the bus company can train the driver in a targeted mode.

Description

technical field [0001] The invention relates to the technical field of driver behavior detection, in particular to a method for constructing and clustering user portraits based on multidimensional attributes. Background technique [0002] In recent years, with the rapid growth of the national economy, urban public transport has played a huge role in alleviating congestion and ensuring smooth traffic, and has received more and more attention from the government and the popularity of the public. In the urban traffic environment, the driving behaviors of bus drivers - rapid acceleration, sudden braking and driving fast, seriously affect the safety of driving and the comfort of passengers. Therefore, regulating the driving behavior of bus drivers and ensuring the service quality and safety of buses has become a top priority. At present, there is still a lack of an effective method for detecting the behavior of drivers and bus drivers. Contents of the invention [0003] Aimin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/24
Inventor 巫朝星张林兵吴行斌梁耀州杜超坎蔡素贤王金达
Owner 汉纳森(厦门)数据股份有限公司
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