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
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[0038] Example 1
[0039] The existing driving risk platform technologies are divided into two types: ①Statistical calculation of individual alarm factor scores (such as figure 1 ); ②Integrate multiple alarm factors for calculation (such as figure 2 )
[0040] See figure 1 In the prior art, the smart terminal collects information from the driver and the vehicle or road in front to generate an alarm, and the vehicle-mounted host uploads the alarm information to the rear platform in real time. The platform will set a score for each alarm factor, and then calculate the score based on the number of alarms in a single day or per 100 kilometers, and finally judge the driver's pros and cons based on the total score obtained. The core modules of this platform system are the data display module and the data statistical report module that display the information uploaded by the smart terminal.
[0041] See figure 2 , The reason currently existing in the market figure 1 A further developed d...
Example Embodiment
[0044] Example 2
[0045] Such as image 3 As shown, a driver risk evaluation 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 evaluation module 9; The risk database module 2 is used to store driver driving risk data, the risk review module 3 is used to detect risk data and match 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 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 evaluation 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 collection m...
Example Embodiment
[0065] Example 3
[0066] See Figure 4 The difference from the foregoing embodiment is that the present invention also discloses a driver risk evaluation method, which includes the following steps:
[0067] 1) Input the driver's driving risk information S1;
[0068] 2) Collect driving environment data information S3;
[0069] 3) Calculate the driving risk information S4;
[0070] 4) Evaluate the driver's driving risk information S6.
[0071] Preferably, the step 1) includes collecting S2 of driver driving behavior data.
[0072] Preferably, the step 2) includes assigning values to the driving risk data according to preset conditions. .
[0073] Preferably, the step 2) includes checking the driving risk data to eliminate abnormal data.
[0074] Preferably, the step 3) includes correcting the driving risk data information S5.
[0075] Preferably, the step 4) includes classifying and displaying driving risk information data.
[0076] In this embodiment, the input of the driver's driving ris...
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