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

Vehicle driving behavior analysis big data public service platform used in Internet+ age

A technology of a public service platform and a big data platform, applied in the physical field, can solve problems such as inability to analyze vehicle driving behavior with massive information

Active Publication Date: 2016-11-09
上海经达信息科技股份有限公司
View PDF8 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a big data public service platform for vehicle driving behavior analysis in the Internet+ era. The vehicle driving behavior analysis big data public service platform in the Internet+ era needs to solve the problems that cannot be solved in the prior art. Massive information in life Analyze technical issues of vehicle driving behavior

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 driving behavior analysis big data public service platform used in Internet+ age
  • Vehicle driving behavior analysis big data public service platform used in Internet+ age
  • Vehicle driving behavior analysis big data public service platform used in Internet+ age

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] Such as figure 1 and figure 2 As shown, the vehicle driving behavior analysis big data public service platform in the Internet+ era of the present invention includes four parts: a data storage layer, a data processing layer, a data analysis layer and a data visualization layer.

[0075] To judge the speeding of the car, the first step is to use the hidden Markov algorithm to find the best road section for the vehicle; the second step is to use the map data to find the speed limit corresponding to the type of road the car is driving on; the third step is to obtain the driving speed in the data. The speed is compared with the speed limit of the road section to determine whether the vehicle is speeding.

[0076] To judge the car overload, the first step is to standardize the original data to eliminate the influence of dimension; the second step is to calculate the average speed, average acceleration and starting acceleration through the time, speed and mileage in the ori...

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 vehicle driving behavior analysis big data public service platform used in the Internet+ age is used for analyzing vehicle driving behaviors and automobile running risk probability and comprises the steps that step one, automobile running data within a period of time is stored through the big data platform, and a MapReduce frame is adopted to process and analyze the data; step two, abnormal automobile driving times in a certain area and within a time period are counted after data processing based on the big data platform, including overspeed, overloading, rapid acceleration, fatigue driving and night driving; step three, a self-organizing mapping neural network algorithm is utilized to calculate the vehicle risk probability and predict the follow-up vehicle running risk after abnormal automobile driving behavior statistics. The vehicle driving behavior analysis big data public service platform preprocesses acquired data by acquiring Beidou / GPS navigation data of a vehicle, further mines the data and can analyze and judge driving behaviors of a driver.

Description

Technical field: [0001] The invention relates to the field of physics, in particular to data storage and processing technology, in particular to a big data public service platform for vehicle driving behavior analysis in the Internet+ era. Background technique: [0002] With the improvement of informatization, life is full of massive amounts of information, some of which are closely related to our lives, analyzing and mining them can improve our lives, serve the public, improve the degree of social informatization, and contribute to smart cities and informatization. The dynamic management scheme of the company provides new opportunities. [0003] As the number of vehicles on the road continues to increase, the risk of personal and property losses due to illegal driving is also increasing. The risk of illegal driving behavior of vehicles in different areas is also different, so the risk cannot be simply averaged, and it must vary from place to place. This is the need to tak...

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): G06F17/30G06K9/62
CPCG06F16/182G06F16/904G06F2216/03G06F18/23G06F18/2411G06F18/214
Inventor 文巨峰罗赞文穆祥强许伟
Owner 上海经达信息科技股份有限公司
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