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

Abstract

The invention discloses an airport runway allocation decision method based on fuzzy hierarchical analysis and evidence theory, and belongs to the technical field of runway allocation. This method firstly analyzes the factors affecting the allocation of entry and departure runways, and establishes a hierarchical analysis model; then, according to the specific situation of the current runway allocation problem, defines the triangular fuzzy pairwise comparison matrix of the hierarchical model; then uses the triangular fuzzy pairwise comparison matrix and its Consistency information, construct the evidence and its uncertainty given by different controllers; comprehensively consider the conflict between the evidence and the prior reliability of the controller, apply evidence theory to fuse different evidence; calculate the confidence interval of the fusion result, Make a decision; finally, compare the decision result of each decision maker with the execution result, and update the prior reliability of the controller for the next runway allocation decision. This method fully considers the subjective factors in the runway allocation process and converts them into the uncertainty of evidence for decision-making, making the runway allocation results more realistic.

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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