A Multi-data Source Flight Departure Time Prediction Method Based on Sorting Learning

A technology of take-off time and sorting learning, applied in the field of civil aviation information, to achieve the effect of rational use and rich training data

Active Publication Date: 2021-12-24
MOBILE TECH COMPANY CHINA TRAVELSKY HLDG
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  • Application Information

AI Technical Summary

Problems solved by technology

In the acquisition of training data, existing technologies are often limited to modeling separately within each data source

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  • A Multi-data Source Flight Departure Time Prediction Method Based on Sorting Learning
  • A Multi-data Source Flight Departure Time Prediction Method Based on Sorting Learning
  • A Multi-data Source Flight Departure Time Prediction Method Based on Sorting Learning

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Embodiment

[0036] The technical terms involved in the present invention include:

[0037] Multiple data sources: Refers to multiple different data sources that can receive takeoff event messages, such as airport data sources, airline data sources, and AirSky data sources. Due to various reasons, for the same flight, the departure times in the departure event messages sent by these data sources may be different, so they need to be checked and selected.

[0038] Sorting learning Learning-to-Rank: LTR model for short, refers to the method of using machine learning in ranking tasks, and has important applications in many fields such as information retrieval, natural language processing, and data mining. Taking document sorting as an example, the core of sorting learning is to learn a sorting model f(q,d), q means query, d means document, and then use the sorting model to give the sorting of related documents when query q is given . Ranking learning belongs to supervised learning, which has...

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Abstract

The invention discloses a multi-data source flight departure time prediction method based on ranking learning, which comprises the following steps: using flight attributes and historical data of flight departure prediction time to perform prediction model training; optimizing the prediction model; The real-time data of the flight departure time of the data source is accepted. This method applies the ranking learning algorithm to the multi-data source decision-making of flight estimated departure time prediction, time-samples the historical data of flight prediction departure time based on multiple data sources, forms a flight document set by combining flight attributes, and based on the prediction error The flight departure time prediction is marked with relevance, and the ranking learning algorithm is called to obtain the predicted departure time with the highest score as the decision acceptance. The scheme of the present invention combines the historical prediction data of all data sources of the flight, reasonably utilizes the amount of prediction information, enriches the training data, and unifies the model to solve the comprehensive decision-making of the prediction and acceptance problem at any time in the entire life cycle of the flight.

Description

technical field [0001] The invention relates to a multi-data source flight departure time prediction method based on ranking learning, which belongs to the technical field of civil aviation information. Background technique [0002] Flight departure time prediction (ETD, estimated time of departure) determines the occupation of ground and airspace resources by civil aviation passenger aircraft, and is extremely important for the work efficiency of air traffic control, airports, airlines and other aviation units. For the same flight, the prediction of its departure time usually comes from multiple units. Because each data source has different resources, its expected coverage and error distribution are different, and often diverge. How to achieve high-quality comprehensive information decision-making is A problem worth solving. The acceptance scheme of a single data source can model the acceptance of a data source as a binary classification problem, and use common binary clas...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G5/00G06Q10/04G06Q50/30G06N3/08
CPCG08G5/003G06Q10/04G06Q50/30G06N3/08
Inventor 王殿胜刘昊佟瑀卞磊薄满辉唐红武
Owner MOBILE TECH COMPANY CHINA TRAVELSKY HLDG
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