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Traffic violation confirmation method and system based on big data

A big data and traffic technology, applied in the field of transportation, can solve the problems of continued driving fear, the driver is not sure about the traffic rules, and the violation is not obvious, so as to avoid illegal driving behavior and reduce panic.

Active Publication Date: 2021-06-08
广东紫云平台数据服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are many violations that are not obvious, or the driver himself is not sure whether his driving behavior really violated the traffic regulations.
Especially for those drivers with insufficient balance of driving points, after the occurrence of potential violations, due to the considerable lag in the sending of violation handling messages, such drivers are very apprehensive about continuing to drive for a period of time thereafter of

Method used

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  • Traffic violation confirmation method and system based on big data
  • Traffic violation confirmation method and system based on big data
  • Traffic violation confirmation method and system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] see figure 1 , figure 1 It is a schematic flowchart of a method for confirming traffic violations disclosed in the embodiment of the present application. Such as figure 1 As shown, the first aspect of the application provides a method for confirming traffic violations based on big data, the method comprising:

[0046] S1, the server receives the information related to the previous driving behavior submitted after the driver believes that the previous driving behavior may be a traffic violation;

[0047] S2, the server obtains corresponding traffic record big data information based on the prior driving behavior related information, and judges accordingly whether the prior driving behavior is a traffic violation;

[0048] S3, feeding back the judgment result to the driver.

[0049]In the embodiment of this application, although various forms of traffic monitoring facilities have been deployed on most roads, the traffic violation processing system usually needs to be f...

Embodiment 2

[0067] see image 3 , image 3 It is a schematic structural diagram of a traffic violation confirmation system based on big data disclosed in the embodiment of this application, and the system corresponds to the method in Embodiment 1. Such as image 3 As shown, the second aspect of the present application provides a traffic violation confirmation system based on big data, the system includes a client and a server:

[0068] The client is configured to receive information related to previous driving behavior input by the driver after the driver believes that his previous driving behavior may be a traffic violation, and submit it to the server;

[0069] The server is configured to obtain corresponding traffic record big data information based on the prior driving behavior related information, and judge whether the prior driving behavior is a traffic violation based on this, and feed back the judgment result to the driver.

[0070] Optionally, the information related to the pr...

Embodiment 3

[0080] see Figure 4 , Figure 4 It is a schematic structural diagram of an electronic device disclosed in the embodiment of this application. Such as Figure 4 As shown, the third aspect of the present application provides an electronic device, the electronic device is set on a server, and the device includes:

[0081] a memory storing executable program code;

[0082] a processor coupled to the memory;

[0083] The processor invokes the executable program code stored in the memory to execute the method steps described in the first embodiment.

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PUM

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Abstract

The invention provides a traffic violation confirmation method based on big data. The method comprises the steps that S1, a server receives prior driving behavior related information submitted after a driver considers that the prior driving behavior of the driver possibly belongs to traffic violation; S2, the server obtains corresponding traffic record big data information based on the prior driving behavior related information, and judges whether the prior driving behavior belongs to traffic violation according to the traffic record big data information; and S3, a judgment result is fed back to a driver. According to the scheme, the driver can timely know whether the previous driving behavior of the driver is illegal or not and the follow-up deducted score, so that the fears of the driver are relieved, and more serious illegal driving behaviors caused by continuous driving with negative scores are also avoided.

Description

technical field [0001] This application relates to the field of traffic, in particular, to a method and system for confirming traffic violations based on big data. Background technique [0002] For vehicle drivers, violations often occur due to unfamiliarity with the road and other reasons, and points will be deducted and fined after violations occur. At the same time, the deductible points for each driver's license are only 12 points per year, so drivers are particularly concerned about their own driving point balance. However, there are many violations that are not obvious, or the driver himself is not sure whether his driving behavior has really violated the traffic regulations. Especially for those drivers with insufficient balance of driving points, after the occurrence of potential violations, due to the considerable lag in the sending of violation handling messages, such drivers are very apprehensive about continuing to drive for a period of time thereafter of. [...

Claims

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Application Information

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IPC IPC(8): G08G1/01H04N7/18H04N5/76
CPCG08G1/0125G08G1/0129G08G1/0137H04N7/18H04N5/76
Inventor 刘晓蕾
Owner 广东紫云平台数据服务有限公司
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