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Method for mining driver frequent parking points based on driver track

A resident, driver technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve problems such as information error-prone, mismatch, affecting the experience of drivers and passengers, saving operating costs, improving Accuracy, manpower saving effect

Active Publication Date: 2014-11-19
BEIJING DIDI INFINITY TECH & DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing car-hailing software requires the driver to manually input the resident point when setting the resident point, and the operation process is cumbersome, and the information is prone to errors. The mismatch affects the experience of drivers and passengers

Method used

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  • Method for mining driver frequent parking points based on driver track
  • Method for mining driver frequent parking points based on driver track
  • Method for mining driver frequent parking points based on driver track

Examples

Experimental program
Comparison scheme
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specific Embodiment 1

[0050] Take Beijing driver Master Wang as an example. Master Wang lives in Northwest Wang, Beijing. He leaves work at 9:00 a.m. and ends at 8:00 p.m. every day. Every day after work, I will habitually open the software and start the day's work. So in the daily trajectory, Master Wang's trajectory is "home - location 1 - location 2... location n - home".

[0051] On the server side of the car-hailing software or the server side of the call center, a large number of track information reported by a certain driver is stored. Generally, the format of the collection of information collected from the driver over a period of time is as follows:

[0052] Numbering

Driver's phone number

time

longitude

latitude

29912132

13300000001

2014-07-20 11:28:12

116.236723

39.543692

29912132

13300000001

2014-07-20 17:28:12

130.236723

55.543692

29912132

13300000001

2014-07-21 8:28:12

100.236723

39.54369...

specific Embodiment 2

[0060] Take Beijing driver Master Wang as an example. Master Wang starts work at 9:00 a.m. and ends at 8:00 p.m. every day. Every day after work, I will habitually open the software and start the day's work. So in the daily trajectory, Master Wang's trajectory is "home - location 1 - location 2... location n - home".

[0061] On the server side of the car-hailing software or the server side of the call center, a large number of track information reported by a certain driver is stored. Generally, the format of the collection of information collected from the driver over a period of time is as follows:

[0062] Numbering

Driver's phone number

time

longitude

latitude

dwell time

29912132

13300000001

2014-07-20 11:28:12

116.236723

39.543692

5min

29912132

13300000001

2014-07-20 12:28:12

130.236723

55.543692

30min

29912132

13300000001

2014-07-21 8:28:12

100.236723

39.543692 ...

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Abstract

The invention relates to the technical field of taxi transporting capacity scheduling and particularly discloses a method for mining driver frequent parking points based on a driver track. The method comprises the steps that driver track information is obtained in a preset time cycle, and a driver information collection is formed; the frequent parking points of a certain driver in the time cycle are worked out according to the driver information collection. According to the technical scheme, the frequent parking points of the driver can be automatically identified according to the driving track of the driver, and the positioning accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of taxi intelligence, in particular to a method for excavating a driver's resident point based on a driver's trajectory. Background technique [0002] At present, with the popularization of smart devices, especially smart navigation and smart phones, it has brought great convenience to people's travel. Drivers can get the desired orders from the platform to reduce their empty driving rate and improve operational efficiency. For the society, it saves communication costs and reduces energy consumption. [0003] The current popularity of car-hailing software has brought great convenience to people's demand for car-hailing. In the existing technology, the driver can obtain orders near the resident point by setting the resident point, which saves the operation cost. [0004] However, the existing car-hailing software requires the driver to manually input the resident point when setting the resident point, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/2465G06F16/285
Inventor 刘章勋
Owner BEIJING DIDI INFINITY TECH & DEV
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