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Driver risk evaluation system and method

A risk assessment and driving risk technology, applied in the field of driver risk assessment system, can solve problems such as low reliability, low stability, and inability to meet market demands, and achieve the effect of ensuring accuracy and authenticity

Active Publication Date: 2020-04-10
深圳市智信达风险管理科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The above-mentioned patent document discloses a method and system for predicting the risky behavior of a driver driving a vehicle, but the system predicts the risk inaccurately, the stability is not high, and the reliability is not good. Strong, unable to meet market demand

Method used

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  • Driver risk evaluation system and method
  • Driver risk evaluation system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] The existing driving risk platform technologies are divided into two types: ①Single alarm factor score statistical calculation (such as figure 1 ); ② Integrate multiple alarm factors for calculation (such as figure 2 )

[0040] see figure 1 , the prior art intelligent terminal collects the information of the driver and the vehicle in front or the road surface to generate an alarm, and the vehicle host uploads the alarm information to the rear platform in real time. The platform will set a score for each alarm factor, and then count the scores based on the number of alarms per day or every 100 kilometers traveled, and finally judge the quality of the driver based on the total score obtained. The core modules of this platform system are the data display module and the data statistics report module that display the information uploaded by the smart terminal

[0041] see figure 2 , which currently exist in the market by figure 1 Further developed driver risk assessme...

Embodiment 2

[0045] Such as image 3 As shown, a driver risk assessment system includes a risk database module 2, a risk review module 3, an environmental data collection module 4, an abnormal data cleaning module 5, a factor assignment module 6, a risk value calculation module 7, and a risk assessment module 9; The risk database module 2 is used to store the driver's driving risk data, the risk review module 3 is used to detect the risk data and matches with the data in the database; the environmental data collection module 4 is used to collect driving environment data , the abnormal data cleaning module 5 is used to check the risk data; the factor assignment module 6 is used to classify data and assign preset data values; the risk value calculation module 7 is used to perform risk data Calculation; the risk assessment module 9 is used to analyze and evaluate the driver's driving risk;

[0046] The risk database module 2 inputs the driving risk information to the environmental data acqui...

Embodiment 3

[0066] see Figure 4 , the difference from the above-mentioned embodiments is that the present invention also discloses a method for evaluating the risk of the driver, which includes the following steps:

[0067] 1) Enter the driver's driving risk information S1;

[0068] 2) Collect driving environment data information S3;

[0069] 3) Calculating S4 on the driving risk information;

[0070] 4) Evaluate the driver's driving risk information S6.

[0071] Preferably, the step 1) includes collecting S2 the driver's driving behavior data.

[0072] Preferably, the step 2) includes assigning the driving risk data according to preset conditions. .

[0073] Preferably, the step 2) includes checking the driving risk data and eliminating abnormal data.

[0074] Preferably, the step 3) includes correcting the driving risk data information S5.

[0075] Preferably, the step 4) includes classifying and displaying the driving risk information data.

[0076] In this embodiment, the ent...

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Abstract

The invention discloses a driver risk evaluation system and method. The system comprises a risk database module, a risk review module, an environment data acquisition module, an abnormal data cleaningmodule, a factor assignment module, a risk value calculation module and a risk evaluation module. The risk database module inputs risk information to the environmental data acquisition module throughthe risk review module, the environmental data acquisition module inputs risk information to the factor assignment module through the abnormal data cleaning module, and the factor assignment module transmits the risk information to the risk evaluation module through the risk value calculation module for risk information evaluation. The method comprises the steps of 1, inputting driving risk information of a driver; 2, acquiring driving environment data information; 3, calculating the driving risk information; and 4, evaluating the driving risk information of the driver. The driver risk evaluation system and method are high in driving risk evaluation accuracy, high in stability, reliable, safe and convenient to use.

Description

technical field [0001] The invention belongs to the technical field of risk assessment, and in particular relates to a driver risk assessment system and method. Background technique [0002] my country is a high-incidence area of ​​global logistics traffic accidents, and the annual death toll still ranks second in the world. According to the statistical model of the World Health Organization (WHO), the number of casualties in traffic accidents in my country exceeds 200,000 every year, and 18 people die in traffic accidents for every 100,000 Chinese residents, and about 800 people die in traffic accidents every day. Among them, the casualty rate of operating passenger and truck drivers is nearly 1 / 1000, and the casualties and property losses caused by road traffic accidents responsible for operating passenger and truck vehicles are much higher than the ratio of the number of operating passenger and truck vehicles to the total number of vehicles. [0003] Now with the develop...

Claims

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Application Information

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IPC IPC(8): G07C5/08
CPCG07C5/0808
Inventor 宋赟
Owner 深圳市智信达风险管理科技股份有限公司
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