Allowed driving unconformable illegal behavior early-warning method based on man-vehicle association analysis

A correlation analysis and quasi-driving technology, which is applied in the traffic control system of road vehicles, character and pattern recognition, and other database retrieval, etc.

Active Publication Date: 2019-11-01
TRAFFIC MANAGEMENT RES INST OF THE MIN OF PUBLIC SECURITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem in the prior art that there is no proprietary way to identify illegal driving behaviors that do not comply with the permitted driving, the present invention provides an early warning method for illegal behaviors that do not comply with the permitted driving based on the correlation analysis of people and vehicles, which can automat

Method used

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  • Allowed driving unconformable illegal behavior early-warning method based on man-vehicle association analysis
  • Allowed driving unconformable illegal behavior early-warning method based on man-vehicle association analysis
  • Allowed driving unconformable illegal behavior early-warning method based on man-vehicle association analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0157] quasi-driving type driver's license code Large buses A1 tractor A2 city ​​bus A3 medium bus B1 large truck B2 a small car C1 small automatic transmission car C2

[0158] S6-3: Based on the permitted driving relationship table, add a column to the table: driver's license code dimension, each driver's license code dimension is represented by three groups of positive integer numbers;

[0159] The driver's license code dimension represents the value obtained by decomposing each driver's license type code in the three dimensions of XYZ. The specific decomposition method is as follows:

[0160] b1: The X dimension indicates the order of the corresponding driver's license type code in the driving permit relationship table, and displays its corresponding serial number;

[0161] b2: The Y dimension indicates the serial number of the corresponding quasi-fake model in the model sorting:

[0162] The vehicle types are sorte...

Embodiment 2

[0167] Vehicle Type driver's license code Dimensions of driver's license code number Large buses A1 121 tractor A2 212 city ​​bus A3 341 medium bus B1 423 large truck B2 531 a small car C1 694 small automatic transmission car C2 794

[0168] S6-4: Calculate according to the dimension of the driver's license code, and obtain all the permitted models corresponding to each driver's license type code. The specific calculation process is as follows:

[0169] c1: read out the number of vehicle types in the permitted driving relationship table, and assign the value to the number M of vehicle types, M=7 in Table 2, that is, there are 7 vehicle types;

[0170] c2: According to the sorting of the driver's license type code, read all the driver's license code dimensions XYZ from high to low i ;

[0171] where i=1,2,...,M-1;

[0172] c3: Compare XYZ i and XYZ j , append XYZ j Corresponding driver's license type code t...

Embodiment 3

[0178] Vehicle Type driver's license code Dimensions of driver's license code number List of permitted vehicles Large buses A1 121 A1,A3,B1,B2,C1,C2 tractor A2 212 A2,B1,B2,C1,C2 city ​​bus A3 341 A3,C1,C2 medium bus B1 423 B1,C1,C2 large truck B2 531 B2,C1,C2 a small car C1 694 C1,C2 small automatic transmission car C2 794 -

[0179] In step c3, compare XYZ i and XYZ j , are the 3 dimensions X for both i , Y i ,Z i with X j , Y j ,Z j For comparison, the specific process includes the following steps:

[0180] d1: if X i j , execute step d2;

[0181] If X i >X j , then XYZ i Does not contain XYZ j , that is, XYZ i The corresponding driver's license type cannot drive XYZ j Corresponding vehicle type, end this comparison;

[0182] d2: If Y i ≤ Y j , execute step d3;

[0183] If Y i >Y j , then XYZ i Does not contain XYZ j , that is, XYZ i The corresponding driver's license ty...

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Abstract

The invention provides an allowed driving unconformable illegal behavior early-warning method based on man-vehicle association analysis. According to the method, a driver and an involved vehicle of anallowed driving unconformable illegal behavior can be automatically recognized, early-warning information is sent to a road surface on-duty policeman for precise interception, and the investigation efficiency and execution efficiency of the allowed driving unconformable illegal behavior are effectively improved. According to the technical scheme, vehicle information is acquired based on an imagerecognition technology, and driver information and information of a driving license held by the driver are acquired based on a face recognition technology; a driving license list of all allowed driving models corresponding to the driving license is obtained through the driving license information, and a minimum allowed driving license required for driving the vehicle is found through the vehicle information; and last, by judging whether the minimum allowed driving license of the to-be-confirmed vehicle is included in the driving license list corresponding to all the allowed driving models of the to-be-confirmed driving license through comparison, whether the driver has the allowed driving unconformable illegal behavior or not is judged.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic control, in particular to an early warning method for illegal behaviors of non-compliance with driving permits based on correlation analysis of people and vehicles. Background technique [0002] Illegal driving behavior that does not conform to the permitted driving refers to the behavior of driving a motor vehicle that does not conform to the permitted type of vehicle stated on the driver's license. At present, there is no specific method of investigation and punishment. In the existing method, when the road traffic police are on duty to intercept other illegal activities, they check and compare the permitted models of the driver's license to find out whether there are illegal activities that do not match the permitted leave. Not only the investigation rate is low, but also Execution is poor. Contents of the invention [0003] In order to solve the problem in the prior art that the...

Claims

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Application Information

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IPC IPC(8): G08G1/017G06K9/00G06K9/32G06F16/903G06Q50/26
CPCG08G1/0175G06F16/90344G06Q50/26G06V40/161G06V40/172G06V20/63G06V20/625
Inventor 蔡岗张森尤冬海董炳辉廖巍张慧辰李小武李杰杨卓敏
Owner TRAFFIC MANAGEMENT RES INST OF THE MIN OF PUBLIC SECURITY
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