Driving behavior analysis method based on Internet of Vehicles

A behavior analysis and car networking technology, applied in the field of traffic safety, can solve the problems of lack of extraction and utilization, and achieve the effect of improving intelligent management, standardizing driving behavior, and optimizing intelligent management

Pending Publication Date: 2021-05-07
汉纳森(厦门)数据股份有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is still a lack of how to extract and use these driving data to regulate the driving behavior of vehicle drivers

Method used

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  • Driving behavior analysis method based on Internet of Vehicles
  • Driving behavior analysis method based on Internet of Vehicles
  • Driving behavior analysis method based on Internet of Vehicles

Examples

Experimental program
Comparison scheme
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Embodiment

[0048] see Figure 1 to Figure 4 , a driving behavior analysis method based on the Internet of Vehicles, comprising the following steps:

[0049] S1: Obtain the original information of the driver's driving record of the Internet of Vehicles, and obtain the original database data;

[0050] S2: Combining the Isolation Forest algorithm and the SOM algorithm to clean the original information of the driving record and obtain the sample data;

[0051] The specific method of step S2 is:

[0052] S21: Use the IsolationForest algorithm to randomly select sample points from the training data as subsamples, and put them into the root node of the tree; IsolationForest is an efficient anomaly detection algorithm. If the distance d is very short, then it is considered likely to be an outlier;

[0053] S22: randomly specify a dimension attribute, randomly generate a cutting point p in the current node data, and the cutting point p is generated between the maximum and minimum values ​​of the...

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Abstract

The invention discloses a driving behavior analysis method based on the Internet of Vehicles, and the method comprises the following steps: S1, obtaining the driving record original information of a driver of the Internet of Vehicles, and obtaining the data of an original database; s2, cleaning the driving record original information in combination with an Isolation Forest algorithm and an SOM algorithm to obtain sample data; s3, extracting and storing feature parameters of the sample data according to data attributes and feature classification; s4, performing K-Means clustering analysis on the characteristic parameters to obtain a clustering center; and s5, adopting bp neural network classification, and judging whether the driving behavior is in a safe range or not. According to the driving behavior analysis method based on the Internet of Vehicles, the driving behavior of the vehicle driver can be analyzed by mining the driving data such as the vehicle speed and the rapid acceleration, the driving behavior of the driver can be standardized, and meanwhile intelligent management of the vehicle is optimized and improved.

Description

technical field [0001] The invention relates to the technical field of traffic safety, in particular to a driving behavior analysis method based on the Internet of Vehicles. Background technique [0002] With the continuous increase of the number of vehicles in our country, it has brought a series of problems to traffic safety and society. The Internet of Vehicles and management departments are also paying more and more attention to driving safety. The Internet of Vehicles technology is an effective way to solve these problems. The Internet of Vehicles system refers to the use of advanced sensing technology, network technology, computing technology, control technology, and intelligent technology to comprehensively perceive roads and traffic, and realize the interaction of large-scale and large-capacity data between multiple systems. Cars control the whole traffic, and control the traffic of each road in full time and space, so as to provide networks and applications that f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G07C5/08
CPCG06N3/084G07C5/0808G06N3/044G06F18/23213G06F18/24
Inventor 傅发健陈旺明巫朝星许华福
Owner 汉纳森(厦门)数据股份有限公司
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