All-weather global taxi aggregation real-time monitoring method based on hbase

A real-time monitoring, taxi technology, applied in traffic flow detection, traffic control system of road vehicles, instruments, etc., can solve the problems affecting the life and travel of urban residents.

Active Publication Date: 2017-01-11
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Strikes not only affect the life and travel of urban residents, but also produce huge direct economic losses.

Method used

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  • All-weather global taxi aggregation real-time monitoring method based on hbase
  • All-weather global taxi aggregation real-time monitoring method based on hbase
  • All-weather global taxi aggregation real-time monitoring method based on hbase

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with accompanying drawing.

[0024] The inventive method mainly relates to three key technologies:

[0025] 1. Time seamless: forward t 1 time, scan backwards t 2 Time data (including t 1 time), such as figure 1 shown.

[0026] 2. Spatial seamlessness: the monitoring area is divided into grids, the abscissa is the longitude, and the ordinate is the latitude, such as figure 2 As shown; while monitoring 1 grid, monitor 8 adjacent grids around it, if the number of taxis in these 9 grids is greater than the historical maximum for n consecutive moments, the number of cars at n moments is still increasing Trend and k% are the same batch of taxis, it is considered that vehicle aggregation occurs in this area.

[0027] 3. HBase database combined with Spark computing framework: different from relational databases, the advantages of HBase database and Spark computing framework in the analysis and processi...

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Abstract

The invention relates to an around-the-clock all-area taxi gathering real-time monitoring method based on HBase and discloses a taxi gathering monitoring method. According to the method, monitored areas are divided into grids at first, the maximum number of taxies in each grid is calculated out through historical GPS data, GPS data are scanned in real time, data in a period are cut out according to moments and analyzed, the grids are scanned in a circulating mode, whether the number of taxies in n moments increases gradually is observed if one grid is larger than the historical maximum value for n continuous moments, whether taxies of the certain number are the same in the last moment is calculated out if on yes judgment, taxi gathering in the grid is proved if on yes judgment, and the next grid in scanned if on no judgment. The around-the-clock all-area taxi gathering real-time monitoring method based on HBase can monitor all areas in real time through GPS data of the taxies, and the real-time gathering monitoring method is quick, accurate and effective based on lots of historical taxi GPS data, real-time taxi data, HBase data, a Spark calculating framework, a data mining method and a least square method.

Description

technical field [0001] The invention belongs to the technical field of massive data mining, and relates to a vehicle aggregation monitoring method based on a massive data mining algorithm. Background technique [0002] Taxi is the product of reform and opening up, and the taxi industry is a special industry. Urban taxi is an industry that provides public services and is directly related to public interests, and occupies a very important position in urban road transportation. In recent years, collective taxi strikes have occurred one after another in Chongqing, Guangdong and other places. monopoly etc. Strikes not only affect the life and travel of urban residents, but also produce huge direct economic losses. Therefore, if taxi strikes can be detected in time, it is of great significance to facilitate people's travel and reduce economic losses. Contents of the invention [0003] The invention provides a vehicle aggregation monitoring method aiming at the deficiencies of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/205
Inventor 李万清方炜俞东进袁友伟黄彬彬方飞
Owner HANGZHOU DIANZI UNIV
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