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Taxi GPS (Global Positioning System) record based airport bus station and path planning method

A technology for taxis and airports, applied in data processing applications, forecasting, calculations, etc., to solve problems such as difficult landing operations

Active Publication Date: 2015-01-28
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method may have been thought of a long time ago, but it is really difficult to implement it when the collection of taxi OD information is not popularized or the massive data processing and computing power have not kept up. Now, with the maturity of big data technology and the collection of OD information Can be operated

Method used

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  • Taxi GPS (Global Positioning System) record based airport bus station and path planning method
  • Taxi GPS (Global Positioning System) record based airport bus station and path planning method
  • Taxi GPS (Global Positioning System) record based airport bus station and path planning method

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Experimental program
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Embodiment

[0110] In this embodiment, the data sets generated by all taxis in city A within a week are used for experiments.

[0111] For the original data set obtained, first filter out invalid data: use blue dots on the map to represent the starting point, and red dots to represent the end point. After displaying these data records on the map, there are many records whose start and end points are both Not in the airport taxi stop area; at this time, draw a circular area with the airport stop as the center and a radius of 1km, and filter out the data whose starting point or end point is within this circular area; the filtered data combines part of the starting point and Eliminate the data whose end point distance is less than 1km and the driving time of a record is less than 5 minutes, and get the most required data set S use .

[0112] Second, take the data set S use Split into two parts of the data set, classified according to the color displayed by the dots in the airport stop area...

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Abstract

The invention discloses a taxi GPS (Global Positioning System) record based airport bus station and path planning method. The taxi GPS record based airport bus station and path planning method comprises the following steps of step 1 obtaining a data set; step 2 filtering all taxi GPS records through a data filter algorithm; step 3 classifying the filtered data set for an airport according to pick and drop sites, wherein the data set is divided into an airport entering data set and an airport leaving data set; step 4 clustering PDRs (Pick / Drop Records) entering the airport entering data set through a cluster algorithm and obtaining a cluster center and a clustering set, wherein a cluster center set is an airport bus candidate station; step 5 performing correcting optimization on the candidate station according to a station setting rule and an optimized algorithm; step 6 planning an airport entering path for an airport bus through a path planning algorithm for an optimized station; step 7 repeating the step 4,5 and 6 for the airport entering and leaving sets to obtain an airport leaving bus path planning scheme for the airport bus.

Description

technical field [0001] The invention relates to the field of computer big data, in particular to an airport bus station and route planning method based on taxi GPS records. Background technique [0002] Big data (Big data), or huge data, massive data, big data, refers to the scale of the data involved is so huge that it cannot be intercepted, managed, processed, and organized within a reasonable time by human beings. interpreted information. In the case of the same total amount of data, compared with individual analysis of independent small data sets (data set), the combined analysis of each small data set can obtain a lot of additional information and data relationships, which can be used to detect business trends , judging the quality of research, preventing the spread of disease, fighting crime, or measuring real-time traffic conditions; such uses are why large datasets are prevalent. [0003] The development of big data in the field of transportation has developed simu...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
CPCG06Q10/047
Inventor 窦万春刘岩
Owner NANJING UNIV
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