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Intelligent trajectory matching correlation analysis algorithm model based on big data mining

A technology of correlation analysis and algorithm model, applied in the direction of electrical digital data processing, special data processing application, digital data information retrieval, etc., can solve problems such as low processing performance, and achieve the effect of improving complexity and accuracy

Active Publication Date: 2019-04-16
南京森根科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current research on human-vehicle association is relatively small, and most of them use traditional association algorithms, which have problems such as low processing performance in time and space. For such a large amount of data about people and vehicles, it is necessary to better dig out hidden data. value and associated information

Method used

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  • Intelligent trajectory matching correlation analysis algorithm model based on big data mining
  • Intelligent trajectory matching correlation analysis algorithm model based on big data mining
  • Intelligent trajectory matching correlation analysis algorithm model based on big data mining

Examples

Experimental program
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Effect test

Embodiment 1

[0025] figure 1 It shows a trajectory intelligent matching correlation analysis algorithm model based on big data mining described in the present invention, including the following steps:

[0026] S1: Source data processing of vehicles and electronic serial numbers; respectively clean the data collected by the vehicle and electronic serial number detection equipment to deduplicate, delete missing value records, etc.;

[0027] S2: Site matching; determine whether the detection code acquisition device and the vehicle capture device are at the same location through the longitude and latitude of the device;

[0028] S3: Determine whether the trajectory direction is consistent; take any vehicle in the data record as an example, according to the vehicle's driving trajectory, when the vehicle is at T 1 time elapsed P 1 station, then time T 1 The set of electronic serial numbers corresponding to ±ΔT is A, and the vehicle T 2 time elapsed P 2 station, then time T 2 The set of ele...

Embodiment 2

[0046] image 3 It shows a system for calculating the degree of human-vehicle correlation according to the method described in Embodiment 1, including a passing data storage module, a code detection data storage module, a human-vehicle trajectory matching calculation module, a statistical data storage module, and a human-vehicle correlation analysis module , People-vehicle association result analysis module;

[0047] The passing data storage module and code detection data storage module are used to manage the collected original passing data and electronic serial number data;

[0048] The human-vehicle trajectory matching calculation module is used to calculate multi-dimensional feature samples of vehicles and electronic serial numbers, and eliminate outliers and abnormal points;

[0049] The statistical data storage module is used to store multi-dimensional feature samples of vehicles and electronic serial numbers;

[0050] The people-vehicle association analysis module is u...

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Abstract

The invention provides an intelligent trajectory matching correlation analysis algorithm model based on big data mining, and belongs to the technical field of big data mining. The method comprises: carrying out duplicate removal, missing value record deletion and other cleaning treatments on vehicle and electronic serial number source data; performing co-station matching on the detection code acquisition equipment and the vehicle snapshot bayonet by adopting equipment latitude and longitude, and judging whether the vehicle and the electronic serial number track direction are consistent or not;multi-dimensional features are extracted from the data to serve as samples, and outliers and abnormal points in the samples are removed; and finally, establishing a model of the processed vehicle andelectronic serial number data by using a Logistic Regression algorithm, and optimizing the model. According to the invention, correlation analysis is carried out on the vehicle and the electronic serial number detection code, vehicle personnel and vehicle characteristics can be mastered in all directions, the accuracy of personnel-vehicle correlation is improved, a good support effect on analysisof traffic big data is achieved, and important technologies such as personnel search and the like are provided for traffic case investigation of a certain department so as to fight against crimes.

Description

technical field [0001] The present invention relates to the field of big data mining, more specifically, an intelligent trajectory matching correlation analysis algorithm model based on big data mining. Background technique [0002] With the improvement of people's living standards, the number of vehicles owned continues to increase, and the scope of people's activities gradually expands. At the same time, the number of criminal cases using motor vehicles as the main means of transportation or targeting motor vehicles is also increasing. Because motor vehicles have the characteristics of many users, large range of activities, and fast speed, it is more difficult for an agency to investigate cases. In recent years, the motor vehicle detection and deployment control system (bayonet system for short) and the electronic serial number detection code system of electronic equipment that have been promoted and used nationwide have realized the data collection of vehicle data and ele...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/2458
Inventor 王国锋刘海滨庄维维朱荣亚
Owner 南京森根科技股份有限公司
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