A method for predict that spatial and temporal distribution of passenger flow at an airport based on XGBOOST

A technology of spatio-temporal distribution and forecasting methods, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as lack of data reference and guidance, and achieve the effects of optimizing resource allocation, improving accuracy, and optimizing allocation

Inactive Publication Date: 2019-01-15
广东机场白云信息科技有限公司
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Problems solved by technology

[0004] In addition, when the current airport front-line employees allocate material and human resources, they are all all

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  • A method for predict that spatial and temporal distribution of passenger flow at an airport based on XGBOOST
  • A method for predict that spatial and temporal distribution of passenger flow at an airport based on XGBOOST
  • A method for predict that spatial and temporal distribution of passenger flow at an airport based on XGBOOST

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[0049] The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. Rather, they are merely examples of methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0050] The terms used in the present disclosure are only for the purpose of describing specific embodiments, and are not intended to limit the present disclosure. The singular forms "a", "said" and "the" used in the present disclosure and appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0051] See figure 1 , figure 1 It is a flow chart of the present invention based on the XGBOOST airport passenger flow time-space distribution prediction method. The predictio...

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Abstract

A method for predicting the spatial and temporal distribution of passenger flow in airport based on XGBOOST includes dividing the interior of airport into a plurality of regions, arranging a pluralityof WIFI hardware in each region, and storing the information sent by each WiFi hardware into a large data platform. The information sent by each WiFi hardware in the big data platform is counted andanalyzed, and the number of connected terminals in each area in each time period is obtained. Extracting the characteristics of the passenger flow distribution affected by the time to be predicted, and extracting the number of connected terminals in the same time period in the past of the time to be predicted as the historical characteristics; the characteristics of passenger flow distribution andhistorical characteristics are taken as the training data set of XGBOOST, and the training data set is trained by XGBOOST, and the prediction model is obtained. The number of connected terminals in each area is predicted by the prediction model, and the predicted value of the number of connected terminals in each area is obtained. The number of people in each area at the predicted time is obtained by mapping the number of connected terminals in each area to the ratio of the actual number of people.

Description

technical field [0001] The invention relates to the field of civil aviation data prediction, in particular to a method for predicting the time-space distribution of airport passenger flow based on XGBOOST. Background technique [0002] With the increasing demand of civil aviation, the timely and effective service of the airport is also facing certain pressure, and a large amount of information and data generated by the operation of the airport are currently not being used, resulting in a waste of management resources. [0003] The airport has a huge passenger throughput, and corresponding to the huge flow of people is the huge service pressure. Airport services such as security, security check, emergency response, check-in, and luggage tracking all hope to be able to predict the future passenger throughput, and deploy manpower and material resources in advance to better serve passengers. [0004] In addition, when the current front-line staff at the airport allocate materia...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/30
Inventor 关华夏侯康黄剑文罗军
Owner 广东机场白云信息科技有限公司
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