Method and system for abnormal-trip vehicle analysis based on large data

A big data and vehicle technology, applied in the field of big data analysis, can solve problems such as long statistical time and difficulty in calculating early warning of suspected vehicles, and achieve the effect of improving the accuracy rate, reducing the statistical time, and eliminating complicated data.

Active Publication Date: 2018-04-27
TAIHUA WISDOM IND GRP CO LTD
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Problems solved by technology

However, for a middle-level county, the number of passing vehicles per day is as high as hundreds of thousands and millions of passing vehicles, which creates great difficulties for the early warning calculation of suspected vehicles, and the statistical time is very long

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  • Method and system for abnormal-trip vehicle analysis based on large data
  • Method and system for abnormal-trip vehicle analysis based on large data
  • Method and system for abnormal-trip vehicle analysis based on large data

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Embodiment 3

[0088] The following provides an application example of the method of the present invention for analyzing abnormal traveling vehicles based on big data.

[0089] The invention fully considers the daily driving state of non-operating vehicles and the driving state after being involved in a case, fully analyzes its abnormal travel behavior from the time dimension, and proposes a judgment method for abnormal travel and case-involved early warning. The present invention fully considers the characteristics of the distributed computing of the big data platform and proposes a distributed computing statistical method for massive data in distributed storage, which greatly improves the analysis efficiency of the massive data. This method is applicable to various versions of the big data platform Hadoop environment. For the abnormal travel judgment method based on the Hadoop platform, please refer to image 3 , image 3 Shown is another flow chart of a method for analyzing abnormal trav...

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Abstract

The invention discloses a method and system for abnormal-trip vehicle analysis based on large data, and relates to the technical field of large data analysis. The method includes the steps that vehicle information data passing through checkpoint openings are collected through a data obtaining module; the vehicle information data is filtered, and vehicle information data corresponding to specifiedtype vehicles is obtained, is randomly distributed to a plurality of processing nodes in a distributed storage database, and is stored according to specified formats; for all the checkpoint openings,the vehicle information data of all the processing nodes is merged, vehicle information data of N days is accumulated, the average value of the number of vehicle passing times and the standard deviation corresponding to the number of vehicle passing times of N days before the current time are calculated, normal distribution calculation is carried out through the average value of the number of vehicle passing times and the corresponding standard deviation, and abnormal-trip vehicles are screened out. According to the technical scheme, statistical time of the abnormal-trip vehicles is greatly shortened, and the accuracy of abnormal-trip determining is increased.

Description

technical field [0001] The present application relates to the technical field of big data analysis, in particular, to a method and system for analyzing abnormal traveling vehicles based on big data. Background technique [0002] With the development of society and the advancement of technology, cars have gradually entered thousands of households. Owning a car is no longer exclusive to some people, nor is it a symbol. However, while the advancement of technology brings convenience and speed to ordinary people, it has also become a sharp weapon for some criminals to commit crimes. At present, there are endless incidents of using cars as criminal tools: such as hit-and-run, driving to escape, driving to follow and so on. Now the investigation of vehicles is all after-the-fact investigation, that is, to screen suspect vehicles through video investigation methods based on witnesses or simple case facts after the incident, so how to find suspect vehicles in advance and carry out e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/26
CPCG06F16/22G06F16/2462G06F16/254G06F16/27G06Q50/26
Inventor 李善宝辛国茂马述杰
Owner TAIHUA WISDOM IND GRP CO LTD
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