Airport runway allocation decision method based on fuzzy analytic hierarchy process and evidence theory

Abstract

The invention discloses an airport runway allocation decision method based on a fuzzy analytic hierarchy process and an evidence theory, belonging to the technical field of runway distribution. The method includes analyzing factors influencing the distribution of the approach and departure runways, and establishing an analytic hierarchy model; according to the specific situation of the current runway distribution problem, defining a triangular fuzzy pairwise comparison matrix of the hierarchical model; constructing the evidences given by different controllers and uncertainty by means of the triangular fuzzy pairwise comparison matrix and the consistency information; comprehensively considering the conflict between evidences and the prior reliability of the controllers, and fusing differentevidences by using an evidence theory; calculating a trust interval of the fusion result and making a decision; finally, comparing the decision result of each decision maker with an execution result,and updating the prior reliability of the controllers for the next runway allocation decision. According to the method, the subjective factors in the runway distribution process are fully considered,and the subjective factors are converted into the uncertainty of the evidence for decision, so that the runway distribution result is more consistent with reality.

Description

technical field [0001] The invention relates to the technical field of runway allocation, in particular to a decision-making method for airport runway allocation based on fuzzy hierarchy analysis and evidence theory. Background technique [0002] With the increase of my country's air transport demand and the rapid increase of flight traffic, the problem of flight delays caused by airspace capacity and traffic imbalance has gradually become prominent. As a special airspace resource, the airport connects the traffic on the landing side and the airside, becoming one of the most important nodes in the entire air transport network, and also one of the core focuses to solve the problem of flight delays. In recent years, adding airport runways to form a multi-runway operating system has become one of the most common methods to expand airport capacity and solve air traffic congestion. According to statistics, airports with an annual domestic passenger throughput of more than 20 mil...

AI Technical Summary

Problems solved by technology

Based on quantified runway allocation factors, these methods generalize the problem into a typical non-deterministic polynomial combination optimization problem, but rarely consider the subjective factors of the controller

However, in the actual flight arrival and departure scheduling process, the controller must give the runway and time allocation scheme according to the current situation. Therefore, the controller's prior knowledge and decision-making habits seriously affect the final allocation scheme, and different allocation The scheme will also result in different capacity and flow matching conditions

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