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Method and system for calculating average mileage from home to work place of vehicle owner in target area

A technology of target area and calculation method, applied in the field of big data processing, can solve problems such as the inaccuracy of the itinerary calculation method, and achieve the effect of reducing calculation difficulty, improving accuracy and accurate judgment results

Active Publication Date: 2020-02-04
CHENGDU LUXINGTONG INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In fact, in the daily driving process, the situation that the vehicle has been driving in a straight line is almost non-existent, that is, the current distance calculation method is not accurate enough

Method used

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  • Method and system for calculating average mileage from home to work place of vehicle owner in target area
  • Method and system for calculating average mileage from home to work place of vehicle owner in target area
  • Method and system for calculating average mileage from home to work place of vehicle owner in target area

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0065] Such as figure 2 As shown, this embodiment discloses a calculation method for the average mileage between the main house and the work unit in the target area, including the following steps:

[0066] A. Among the vehicles whose vehicle belongs to the target area, filter out the vehicles whose frequency of occurrence in the first historical period is lower than the first number;

[0067] B. Query the mileage of each vehicle during the on-duty and off-duty periods of the second historical period, and calculate the average mileage of each vehicle during the on-duty and off-duty periods in the second historical period ;

[0068] C. Take the median of the average mileage of each vehicle in the second historical period as the mileage between the owner's home and the work unit of the vehicle;

[0069] D. Calculate the mean value of the mileage of all vehicles.

Embodiment 2

[0071] This embodiment discloses a method for confirming vehicle attribution, including the following steps:

[0072] a. Perform Geohash encoding on the latitude and longitude in each data packet returned by the vehicle-mounted GNSS device to obtain the corresponding vehicle Geohash encoding; and associate and store each data packet with the corresponding vehicle Geohash encoding;

[0073] b. Query all data packets in the third historical period, and make statistics on the vehicle Geohash codes corresponding to the data packets, to obtain the frequency of each vehicle Geohash code;

[0074] c. Screen out the vehicle Geohash codes with the second highest number of vehicle Geohash codes;

[0075] d. Add the statistical frequency of the vehicle Geohash codes corresponding to the same area, and take the area with the highest frequency after the addition as the vehicle's attribution.

[0076] Corresponding to the area with the highest statistical frequency, the corresponding longi...

Embodiment 3

[0083] This embodiment discloses a calculation method for the average mileage between the car owner's home and the work unit in the target area, including the following steps:

[0084] Such as image 3 As shown, the confirmation of vehicle ownership: For each vehicle, perform the following processes A-D:

[0085] A. Perform Geohash encoding on the latitude and longitude in each data packet returned by the vehicle-mounted GNSS device to obtain the vehicle Geohash code; and store each data packet in association with the corresponding vehicle Geohash code.

[0086] B. Query all data packets in the last 3 months (adjustable), and make statistics on the vehicle Geohash codes corresponding to the data packets to obtain the frequency of each vehicle Geohash code.

[0087] C. Take the top 200 (adjustable) vehicle Geohash codes with the highest frequency of vehicle Geohash codes;

[0088] D. Add the statistical frequency of the vehicle Geohash codes corresponding to the same area, an...

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Abstract

The invention discloses a method and a system for calculating an average mileage from home to a work place of a vehicle owner in a target area. The method comprises an attribution vehicle filtering step, a mileage statistics and mean value calculation step in on-off time, an average mileage correction step and a vehicle mileage mean value calculation step in an area. The system comprises an attribution unit, a filtering unit, a data query unit and a mileage calculation unit, the attribution unit confirms the attribution of the vehicle, the filtering unit filters the vehicle in the target areaaccording to conditions to obtain an analysis sample, the data query unit queries vehicle driving data, and the mileage calculation unit is used for calculating the average mileage from home to the work place of the vehicle owner in the target area. According to the invention, the distance from home to the work place of the vehicle owner in the target area can be accurately calculated. Continuoushistorical data is used as a reference, and regularity in the data is mined, so that a calculation result is consistent with reality.

Description

technical field [0001] The invention relates to the field of big data processing, in particular to a method and system for calculating the average mileage from a car owner's home to a unit in a specific target area under big data. Background technique [0002] The current car ownership base is relatively large, and it shows a clear growth trend. In the face of a huge number of vehicles, if accurate control of vehicle status can be achieved, it will be an effective data support for service providers to provide timely and accurate services to vehicle owners. [0003] With the continuous increase of car ownership, the number of car owners who install vehicle-mounted devices (such as GPS and other positioning devices) on their vehicles also increases. For vehicles equipped with on-board equipment, under the big data platform of the Internet of Vehicles, multiple daily behaviors of car owners can be objectively analyzed, including the analysis of daily itineraries. [0004] The...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C22/00G06F17/18
CPCG01C22/00G06F17/18
Inventor 温佐滔陈锐陈剑波
Owner CHENGDU LUXINGTONG INFORMATION TECH