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Similar trajectory mining method and device on basis of massive license plate identification data

A license plate recognition and similar trajectory technology, applied in the information field, can solve the problem of low efficiency and accuracy of similar trajectory mining

Active Publication Date: 2015-07-15
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to overcome the above-mentioned technical defects, thereby solving the problem of low efficiency and accuracy of similar trajectory mining under massive license plate recognition data

Method used

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  • Similar trajectory mining method and device on basis of massive license plate identification data
  • Similar trajectory mining method and device on basis of massive license plate identification data
  • Similar trajectory mining method and device on basis of massive license plate identification data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] The invention provides a similar trajectory mining device, which mainly includes a data storage module, a reading data division module, a data block calculation module, a similar trajectory calculation module and a human-computer interaction interface. Refer to the attached Figure 4 Describe each module in detail.

[0059] Data storage module: This module is connected with the data reading and division module, data block calculation module and similar trajectory calculation module, and adopts a distributed file system architecture; this module stores massive license plate recognition data, intermediate data and results of operations, and road network The basic data of monitoring points and the final result of similar trajectory mining;

[0060] Data reading and division module: This module is connected with the data storage module and the data block calculation module for track organization and screening; this module reads the massive license plate recognition data in...

Embodiment 2

[0098] combine figure 2 The basic flow describes the similar trajectory mining flow. First, read the historical license plate recognition data, eliminate invalid redundant data to realize data screening; then calculate the point adjoint relationship of the filtered data, and write the point adjoint results into the similar trajectory candidate set; finally calculate the trajectory similarity according to the set threshold degree, returns similar trajectories and associated accompanying vehicles that satisfy the condition. exist figure 2 middle,

[0099] S1 is historical license plate recognition data, which is used as raw data for subsequent calculations. After the process of organizing and screening the first-level job trajectories, the result forms the track linked list set S2 and is written into the data storage module of the device.

[0100] S2 is the trajectory linked list collection after the first-level operation of trajectory organization and screening, and the v...

Embodiment 3

[0106] The second-level job organizes the vehicle passing chain list as follows. Assume that the license plate recognition data obtained by a certain monitoring point spans from 0:00 to 24:00 on November 13, 2012. The data is read into the track linked list set after the first-level operation is calculated and screened to remove redundancy, and the method of the present invention extracts monitoring points in each piece of data, license plate number, attribute items such as recording time, and sorts by the time of passing through the monitoring points, A passing chain list within the time range is formed for each monitoring point. The linked list structure of a certain monitoring point is shown in the following output record.

[0107] >

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Abstract

The invention discloses a similar trajectory mining method and a similar trajectory mining device on the basis of massive license plate identification data. The method comprises three main steps of trajectory organization and screening, point escort relationship calculation and trajectory similarity judgment. According to the similar trajectory mining method and the similar trajectory mining device on the basis of massive license plate identification data, the problem of lagging of calculation of response time under massive data sets is solved; calculation accuracy is improved on the basis of analysis on the license plate identification data; due to use of a Hadoop Map Reduce distributed processing mode, calculation efficiency is improved; similar trajectories are efficiently and rapidly mined; the similar trajectory mining method and the similar trajectory mining device can be used for finding escort vehicles in the field of the traffic service.

Description

technical field [0001] The invention belongs to the method in the field of information technology, and can quickly and efficiently find similar tracks of vehicles based on massive license plate recognition data in the field of intelligent transportation, and then be used to identify accompanying vehicles. [0002] The present invention also relates to a device for big data analysis. The method is used in a Hadoop MapReduce cluster environment to complete the calculation of similar trajectories, which is used for data mining in the field of intelligent transportation and can provide assistance for public security and police handling cases. Background technique [0003] Mining similar trajectories of vehicles in urban road networks is an important business calculation in the field of intelligent transportation. Related research has always been a focus and hot spot. It can be used for bus route design in intelligent transportation systems and smart city environments, as well as ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
Inventor 丁维龙赵卓峰卢帅张帅韩燕波
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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