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A Black Car Recognition Method Based on Bayesian Classification Algorithm Based on Large-Scale Data

A Bayesian classification, large-scale data technology, applied in the field of black car recognition, can solve the problems of traffic accidents, large numbers, instability, etc., to achieve high recognition accuracy, high authenticity, and eliminate the effect of the impact

Active Publication Date: 2018-01-19
ANHUI SUN CREATE ELECTRONICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, with the development of the economy, the number of black cars has also increased year by year. The existence of black cars has not only seriously disrupted the normal order of the transportation market, led to serious traffic accidents, and damaged the legitimate rights and interests of passengers. Behaviors of soliciting passengers, extortion, and murder have seriously affected the travel safety of passengers and brought unstable factors to the society
Because the management of black cars has the characteristics of difficult identification of vehicles, large numbers, and difficulties in investigation and evidence collection, and there is currently no effective method or system that can automatically identify them, so how to correctly identify black cars has become an urgent problem for the transportation management department. question

Method used

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  • A Black Car Recognition Method Based on Bayesian Classification Algorithm Based on Large-Scale Data
  • A Black Car Recognition Method Based on Bayesian Classification Algorithm Based on Large-Scale Data
  • A Black Car Recognition Method Based on Bayesian Classification Algorithm Based on Large-Scale Data

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Embodiment Construction

[0042] like figure 1As shown, a black car identification method based on the Bayesian classification algorithm of large-scale data includes: (1) Obtaining the license plate number information of multiple illegally operating vehicles from the transportation management office as black car sample vehicles; The license plate number information of the car is used as the white car sample vehicle, and then the passing record data of the black car sample vehicle and the white car sample vehicle are retrieved from the large-scale passing vehicle data platform Hadoop; (2) the retrieved passing record data is processed Data preprocessing to obtain the original characteristic attributes of the passing vehicle record data; (3) Calculate the degree of vehicle travel regularity according to the original characteristic attributes of the passing vehicle recording data; (4) In the large-scale passing vehicle data platform Hadoop, use the passing vehicle record The Bayesian classification model ...

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Abstract

The invention relates to an illegal car identifying method utilizing a Bayesian classification algorithm based on massive data. The method includes the steps that car passing recording data of illegal car sample cars and legal car sample cars are retrieved from a massive car passing data platform; the retrieved car passing recording data are preprocessed, and original feature attributes of the car passing recording data are obtained; the car traveling regularity degree is calculated according to the original feature attributes of the car passing recording data; a Bayesian classification model is trained according to the original feature attributes of the car passing recording data and the vehicle traveling regularity degree, and an illegal car identifying model is obtained; unidentified car passing data in a gate system are input into the illegal car identifying model, and the illegal car identifying model automatically identifies whether cars are illegal or not and presents an identifying result to a user. In the model establishing process, all parameters are set in a self-adjusting mode, the influences of subjective factors on illegal car identifying results are eliminated, and the data processing efficiency and the display real-time performance of the results are improved.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a black car identification method based on a Bayesian classification algorithm based on large-scale data. Background technique [0002] The so-called black car refers to a vehicle that has not gone through any relevant procedures in the transportation management department, and has not obtained an operating license and is operating illegally with paid services. In recent years, with the development of the economy, the number of black cars has also increased year by year. The existence of black cars has not only seriously disrupted the normal order of the transportation market, led to serious traffic accidents, and damaged the legitimate rights and interests of passengers. Behaviors of soliciting passengers, extortion, and murder have seriously affected the travel safety of passengers and brought unstable factors to society. Because the management of black cars...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06K9/62
Inventor 王佐成任子晖王汉林马韵洁张凯王卫刘畅张伟许亚军
Owner ANHUI SUN CREATE ELECTRONICS
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