Unlock instant, AI-driven research and patent intelligence for your innovation.

Vehicle Feature Evaluation Method Based on Hierarchical Clustering and Decision Tree

A technology of hierarchical clustering and vehicle characteristics, applied in the field of traffic safety, can solve problems such as hidden dangers of traffic travel and strict management and control, and achieve the effect of reducing hidden dangers and improving efficiency

Active Publication Date: 2021-03-05
安徽百诚慧通科技股份有限公司
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] For a long time, motor vehicles, as the main object of traffic management, have been under the key control of traffic managers. However, due to the sharp increase in the number of motor vehicles, the limited police resources of the traffic control department have been unable to carry out all-round strict control of them, resulting in various Similar traffic violations and chaos emerge in endlessly, bringing great hidden dangers to people's traffic safety

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
  • Vehicle Feature Evaluation Method Based on Hierarchical Clustering and Decision Tree
  • Vehicle Feature Evaluation Method Based on Hierarchical Clustering and Decision Tree
  • Vehicle Feature Evaluation Method Based on Hierarchical Clustering and Decision Tree

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.

[0035] Such as figure 1 As shown, a kind of vehicle feature evaluation method based on hierarchical clustering and decision tree in the embodiment of the present invention comprises the following steps:

[0036] S100. Determine corresponding vehicle evaluation indicators according to the attributes of the vehicle itself and the behavior characteristics of the vehicle being driven;

[0037] S200. Obtain the evaluation index data of the vehicle to be evaluated;

[0038] S300. Perform hierarchical clustering processing on the vehicle evaluation index...

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

A method for evaluating vehicle characteristics based on hierarchical clustering and decision trees. By establishing a motor vehicle management and control system, it can assist the transportation department in efficient and precise management; including determining the corresponding vehicle evaluation indicators based on the attributes of the vehicle itself and the behavior characteristics of the vehicle being driven. ; Obtain the evaluation index data of the vehicle to be evaluated; perform hierarchical clustering processing on the vehicle evaluation index data; classify and label according to the results of hierarchical clustering; establish a decision tree for training and then build based on the data marked after hierarchical clustering Vehicle risk assessment model: Based on the vehicle risk assessment model, the vehicle to be evaluated is evaluated for its risk level. The present invention uses a method combining hierarchical clustering and decision tree to build a vehicle risk level model, and through quantitative risk assessment, differentiates management of vehicles with different risks for traffic managers, improves the efficiency of road safety management, and reduces potential safety hazards.

Description

technical field [0001] The invention relates to the technical field of traffic safety, in particular to a method for evaluating vehicle characteristics based on hierarchical clustering and decision trees. Background technique [0002] For a long time, motor vehicles, as the main object of traffic management, have been under the key control of traffic managers. However, due to the sharp increase in the number of motor vehicles, the limited police resources of the traffic control department have been unable to carry out all-round strict control of them, resulting in various Traffic violations and chaos emerge in endlessly, bringing great hidden dangers to people's traffic safety. Contents of the invention [0003] A vehicle feature evaluation method based on hierarchical clustering and decision tree proposed by the present invention, combined with the actual needs of traffic police management, establishes a motor vehicle management and control system, which can assist the tr...

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 Patents(China)
IPC IPC(8): G08G1/01G06K9/62G06Q10/06G06Q50/30
CPCG08G1/0125G08G1/0137G06Q10/0635G06Q10/06393G06F18/23G06Q50/40
Inventor 朱文佳刘松蒋冠男骆乐乐陶诗德
Owner 安徽百诚慧通科技股份有限公司