Method and device for recommending vehicle brand

A vehicle brand and vehicle technology, applied in the field of intelligent transportation big data, can solve problems such as complex production problems

Active Publication Date: 2018-06-22
BEIJING TRANWISEWAY INFORMATION TECH
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of social economy, both private cars and logistics transport vehicles are growing at an exponential rate; various vehicle manufacturers are also constantly launching vehicles of various brands, functions, and sizes. For so many types of vehicles, for car buyers, especially for inexperienced car buyers, how to choose a vehicle that meets their needs and has high cost performance has become a problem; at the same time, for vehicle manufacturers, it is always difficult to As the number of vehicles brought to market increases, the aggregation of production problems becomes increasingly complex

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for recommending vehicle brand
  • Method and device for recommending vehicle brand

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] According to an embodiment of the present invention, a method for recommending a vehicle brand is provided, such as figure 1 shown, including:

[0072] Step 101: Select the static information of the vehicle and the historical track data of the vehicle within a preset time period;

[0073] In this embodiment, when the vehicle is put into the market and purchased, the static information of the vehicle is maintained, including: the brand, weight, license plate number, fuel tank size, manufacturer information, registration place, owner information, etc. of the vehicle;

[0074] Preferably, in this embodiment, before step 101, it also includes: collecting and saving the trajectory data reported by the on-board equipment of each vehicle;

[0075] Correspondingly, in step 101, the historical track data of the vehicle within the preset time period is selected, specifically: among the saved historical track data, the historical track data within the preset time period is arbitr...

Embodiment 2

[0110] According to an embodiment of the present invention, a device for recommending a vehicle brand is provided, such as figure 2 shown, including:

[0111] The selection module 201 is used to select the static information of the vehicle and the historical track data of the vehicle within a preset time period;

[0112] The statistics module 202 is used to perform statistics on the static information and historical trajectory data selected by the selection module 201 according to different dimensions, and obtain statistical results;

[0113] The first prediction module 203 is used to predict the vehicle sales of each brand according to the statistical results obtained by the statistical module 202;

[0114] The second prediction module 204 is used to predict the vehicle quality of each brand according to the statistical results obtained by the statistical module 202;

[0115] The recommendation module 205 is used for recommending vehicle brands to vehicle buyers according ...

Embodiment approach

[0116] According to an embodiment of the present invention, the device further includes: a maintenance module and a collection module, wherein:

[0117] The maintenance module is used to maintain the static information of the vehicle when the vehicle is put into the market and purchased;

[0118] The collection module is used to collect and save the trajectory data reported by the on-board equipment of each vehicle;

[0119] Correspondingly, the selection module 201 is specifically configured to: select the static information maintained by the maintenance module and the historical track data saved by the collection module.

[0120] Among them, static information includes: vehicle brand, weight, license plate number, fuel tank size, manufacturer information, registration place, owner information, etc.; historical trajectory data includes: vehicle license plate number, a series of location data in the time dimension, driving mileage etc.

[0121] According to an embodiment of th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method and device for recommending a vehicle brand, and belongs to the field of intelligent transportation big data. The method includes selecting static information of a vehicle and historical trajectory data of the vehicle in a preset time period; making statistics of the selected static information and historical trajectory data according to different dimensions to obtain a statistical result; predicting vehicle sales and vehicle quality of each brand according to the statistical result; and recommending a vehicle brand to a vehicle purchaser according to requirements of the vehicle purchaser and the predicted vehicle sales and vehicle quality of each brand. In the method, based on the most original static information of the vehicle and trajectory data of the vehicle, the vehicle sales and vehicle quality of each brand are predicted, thereby providing a detailed reference standard for the vehicle purchaser, and solving the trouble of difficult selection ofthe vehicle purchaser; and at the same time, precise market data can also be provided for a vehicle manufacturer, so that the vehicle manufacturer timely adjusts a production strategy and improves vehicle quality.

Description

technical field [0001] The invention relates to the field of intelligent transportation big data, in particular to a method and device for recommending vehicle brands. Background technique [0002] With the rapid development of social economy, both private cars and logistics transport vehicles are growing at an exponential rate; various vehicle manufacturers are also constantly launching vehicles of various brands, functions, and sizes. For so many types of vehicles, for car buyers, especially for inexperienced car buyers, how to choose a vehicle that meets their needs and has high cost performance has become a problem; at the same time, for vehicle manufacturers, it is always difficult to As the number of vehicles put on the market increases, the aggregation of production problems becomes more and more complex. Contents of the invention [0003] In order to solve the deficiencies of the prior art, the present invention provides a method and device for recommending vehicl...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/06G06F17/18
CPCG06F17/18G06Q10/06395G06Q30/0201G06Q30/0202
Inventor 杨海孙智彬杨晓明张鹤高张缙
Owner BEIJING TRANWISEWAY INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap