Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Online car-hailing identification method and system based on cluster judgment model

A discriminant model and technology for online car-hailing, applied in the field of online car-hailing management, can solve the problems of manpower consumption, achieve the effect of reducing labor costs and improving work efficiency

Inactive Publication Date: 2017-10-27
NANJING HOWSO TECH
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current management method of online car-hailing is through manual inspection, but this consumes a lot of manpower. Therefore, the Transportation Bureau urgently needs an automated screening method to help them lock suspect vehicles and achieve fast and efficient law enforcement.

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
  • Online car-hailing identification method and system based on cluster judgment model
  • Online car-hailing identification method and system based on cluster judgment model
  • Online car-hailing identification method and system based on cluster judgment model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] Such as Figure 11 As shown, the network car-hailing identification method based on the cluster discriminant model in the embodiment of the present invention includes the following steps:

[0046] Step (1): Obtain the original data, and randomly select several known taxi driver users as the sample set M, and randomly select several unknown taxi driver users as the sample set N;

[0047] Step (2): Obtain the signaling data of the driver user in the sample set M and sample set N in the step (1) within a certain period of time, and perform feature extraction;

[0048] Step (3): By analyzing the features extracted in the step (2), it can be seen that there are certain differences between online car-hailing drivers and taxi drivers;

[0049] Step (4): building a model, randomly dividing the sample set M into a clustering training set P and a verification set Q, and using the sample set N as a test set N;

[0050] Carry out cluster analysis on the training set P, calculate ...

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 an online car-hailing identification method and system based on a cluster judgment model. The method comprises the steps of (1) obtaining original data, randomly selecting a plurality of known taxi driver users as a sample set M, and randomly selecting driver users of unknown categories as a sample set N, (2) carrying out characteristic extraction, (3) analyzing characteristics, (4) establishing a model, and (5) importing collected unknown driver signaling data into the model established in the step (4) to carry out judgment. With the signaling data of a mobile phone as a basis, the moving characteristics of a driver is extracted, under the condition that only one category of data label is known, whether the data of an unknown label belongs to the category or not is judged, which is fast and convenient, a result of identification can be used by a traffic law enforcement department to fight illegal online car-hailing, the traffic law enforcement department is helped to rapid position a suspected vehicle, the labor cost of law enforcement is reduced, and the working efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of online car-hailing management, and in particular relates to an online car-hailing identification method and system based on a clustering discrimination model. Background technique [0002] Driven by the background of "Internet +" and market trends, online car-hailing, as a new way of travel, has quickly become the darling of the market and an important part of smart travel. [0003] Online car-hailing refers to the online reservation of taxis. It is a travel method that connects passengers, drivers and vehicles, and passengers reserve driver pick-up and drop-off services through smart phone applications. The emergence of online car-hailing meets the diverse travel needs of the public and improves the utilization efficiency of motor vehicles. However, as the scale of online car-hailing continues to expand, a series of social supervision problems it brings cannot be ignored. [0004] There are both differe...

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): G06K9/62G06Q10/02G06Q50/26
CPCG06Q10/02G06Q50/26G06F18/23213G06F18/214
Inventor 冷婷谈炜石路路王计斌
Owner NANJING HOWSO TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com