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Dynamic car-pooling method and system based on automatic number plate recognition data

A technology for automatic license plate recognition and data, which is applied in database models, relational databases, electronic digital data processing, etc., and can solve problems such as inability to query and analyze results and feedback to users, long query and analysis time, etc.

Active Publication Date: 2015-09-23
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current technology often has computing and storage bottlenecks when processing such a large amount of automatic license plate recognition data. It takes a long time to query and analyze, and the query and analysis results cannot be fed back to users in a timely manner.

Method used

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  • Dynamic car-pooling method and system based on automatic number plate recognition data
  • Dynamic car-pooling method and system based on automatic number plate recognition data
  • Dynamic car-pooling method and system based on automatic number plate recognition data

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Embodiment Construction

[0096] The method and system proposed by the present invention will be described in detail below with reference to the accompanying drawings.

[0097] attached figure 1 The network topology diagram of the system of the present invention is shown. The client enables users to access the system through the network, and the client can be mobile phones, computers and other terminal devices; the server is a dynamic carpooling system deployed on a cluster composed of multiple machines in the cloud environment; urban traffic cameras continuously generate data , the data is collected to the server side through the network.

[0098] attached figure 2 A hierarchical structure diagram of the system of the present invention is shown. Users log into the system through various terminal devices, such as mobile phones and computers, and then get carpooling recommendation results through the following hierarchical structures.

[0099] data collection layer. Responsible for collecting traf...

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Abstract

The invention provides a dynamic car-pooling method and system based on automatic number plate recognition data. The system is capable of efficiently processing the automatic number plate recognition data based on a Hadoop and Spark parallel and processing frame under the cloud computation environment so as to immediately and accurately providing the car-pooling recommendation service for a user. Different from the traditional car-pooling system which needs a place of departure and a destination as query conditions, the method and system provided by the invention can analyze and excavate cars commonly appeared a certain number of monitoring points in parallel through the adoption of a frequent item set discovery algorithm after a period of time range is given, so that the dynamic recommendation function of the car-pooling group is realized.

Description

technical field [0001] The present invention relates to the technical field of Internet big data analysis and mining, in particular to Internet (including mobile Internet), networkable terminals such as mobile phones and computers, big data analysis and mining tools such as Hadoop and Spark, and in particular to a method based on massive license plate automatic recognition data. Dynamic carpooling method and system. Background technique [0002] The massive automatic number plate recognition (The Automatic Number Plate Recognition) data is the data generated by processing the road traffic data captured by the traffic camera, referred to as ANPR data, which contains at least three fields of <license plate number, monitoring point, time point> information. [0003] Hadoop is a software framework capable of distributed storage and processing of large amounts of data. It processes data in a reliable, efficient, and scalable manner; HDFS is a highly fault-tolerant framework...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/183G06F16/284G06F16/9535G06F16/9537
Inventor 王桂玲曹波张仲妹朱美玲刘晨韩燕波
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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