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Big data public service platform for vehicle driving behavior analysis in the Internet + era

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: 2019-12-06
上海经达信息科技股份有限公司
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  • 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

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  • Big data public service platform for vehicle driving behavior analysis in the Internet + era
  • Big data public service platform for vehicle driving behavior analysis in the Internet + era
  • Big data public service platform for vehicle driving behavior analysis in the Internet + era

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Embodiment 1

[0074] Such as figure 1 with 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 or...

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Abstract

A big data public service platform for vehicle driving behavior analysis in the Internet + era, which analyzes vehicle driving behavior and the risk probability of vehicle driving, including step 1, storing vehicle driving data for a period of time through the big data platform and using the MapReduce framework Process and analyze these data. Step 2. After processing the data based on the big data platform, calculate the number of abnormal driving times in a certain area and time period, including speeding, overloading, rapid acceleration and deceleration, fatigue driving, and night driving. Driving, step 3: After counting the abnormal driving behavior, use the self-organizing map neural network algorithm to calculate the vehicle risk probability, and predict the subsequent vehicle driving risk. The present invention collects the Beidou / GPS navigation data of the vehicle, utilizes the big data platform to preprocess the collected data, and further data mining on the data can analyze and judge the driving behavior of the 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

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/182G06F16/904G06K9/62
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
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