Parallel runway capacity calculating method based on random simulation

Abstract

The invention relates to a parallel runway capacity calculating method based on random simulation. The method includes the steps of setting initial parameters for calculating runway capacity, generating rising and landing type vectors of aircrafts, generating aircraft type vectors, allocating one corresponding arriving or departure point for each arriving or departing aircraft according to proportion, allocating one runway for each flight and generating runway vectors, sequentially calculating the interval Si, i+1 of i flight and i+1 flight from the first flight, calculating the taking-off and landing moments of each subsequent flight, calculating the flight number as the capacity value of current random conditions, taking a mean value as a runway capacity value after simulation for N times, and displaying the calculating result. Variable randomness is simulated through the monte-carlo method, and the taking-off and landing moments of each flight is calculated in a recursion way according to discrete event system principles. The capacity value is obtained by calculating the flight number in one hour. Scientific runway planning scheme evaluation is realized, and reasonable arrangement of flight schedule and precise flow management are realized.

Description

technical field [0001] The invention relates to the field of airport planning, in particular to a method for calculating the capacity of parallel runways based on stochastic simulation. The application of the method can provide a technical basis for the planning and design of the number and configuration of airport runways. Background technique [0002] Runway capacity assessment is an important basic work for scientifically evaluating runway planning schemes, rationally arranging flight schedules, and accurately implementing flow management. With the increasing number of multi-runway operating airports in my country, multi-runway capacity assessment has gradually become a research hotspot. There are mainly three kinds of runway capacity evaluation methods at home and abroad: one is the empirical method, the other is the mathematical analysis method, and the third is the computer simulation method. [0003] The empirical method is to analyze the coupling relationship betwee...

AI Technical Summary

Problems solved by technology

The empirical method has strict data requirements. If the airport is not in a saturated state, the statistical results must not reflect the real capacity value

[0004] Mathematical analysis methods are mostly suitable for macroscopic runway theoretical capacity assessment. The advantage of this method is that the calculation speed is very fast, but the microcosmic description of random factors and traffic flow operation details is not accurate enough

[0005] The computer simulation software fully considers the random factors in the flight process, and has a relatively complete air traffic control logic, so the simulation effect is closer to reality, but it needs a lot of manpower and financial resources to establish a complex simulation environment and logic rules, which is difficult to fully promote

[0006] Considering the current status of runway capacity analysis in existing airports, there is still a lack of a fast, effective and practical method for calculating runway capacity

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