Airport group airspace simulation modeling and verification method and device in complex airspace scene

Abstract

The invention discloses an airport group airspace simulation modeling and verification method and device in a complex airspace scene. The modeling process is more transparent and intelligent, the authenticity and reliability of the model are objectively and fairly evaluated from the technical perspective, the model can accurately and objectively reflect the operation state of the airspace, and guarantee is provided for airport and airspace planning, airspace evaluation, airport and airspace capacity evaluation, new technology verification and the like. The method comprises the following steps:(1) determining a research area and an evaluation object, and collecting airspace infrastructure data, operation rule data, flight plan data and actual operation data; (2) arranging the collected airport structure data and airspace structure data into a format supported by the simulation tool according to the selected simulation tool, and importing the data into a simulation model; (3) carrying out flight trend arrangement and modeling; (4) carrying out flight plan arrangement and modeling; (5) respectively arranging operation rule data according to airports and trends; (6) operating the baseline model and extracting model indexes; and (7) checking the baseline model according to an expert verification method and an index verification method.

Description

technical field [0001] The present invention relates to the technical field of civil aviation airport airspace management, in particular to an airport group airspace simulation modeling and verification method under complex airspace scenarios, and also relates to an airport group airspace simulation modeling and verification device under complex airspace scenarios. Background technique [0002] The development of the air traffic transportation system has further led to an increase in the density of airports, the interaction of airports within the airport group, and the high degree of sharing of airspace resources such as airspace, air routes, arrival and departure procedures, and specific waypoints, resulting in serious flight conflicts (referring to aircraft-to-aircraft conflicts). The distance is less than the specified radar control interval) and flight delays (because of traffic control, weather and other factors, the actual take-off / landing time of the flight is later th...

AI Technical Summary

Problems solved by technology

[0006] 1. The existing methods for establishing baseline models are all proposed from the perspective of methodology, and their applicability is limited. The methods are more aimed at a single airport or a single control area, and cannot meet the modeling guidance of airport groups in complex environments with large flows

[0007] 2. When the user establishes the baseline model, he is not clear about the modeling methods of flight routes, flight plans, and rules. It is still unclear how to use various data, and the data processing is not targeted

[0008] 3. There is no clear model verification evaluation mechanism, and there is no explanation for what standards the baseline model should meet to meet the requirements

Images