| With the improvement of China’s economic,the transport industry has also entered a period of vigorous development.Under the scale of civil aviation airports’ increasing in China,the services quality provided by large airports during peak hours is gradually declining,resulting in certain negative impacts on the economic,social,security and environmental aspects of airport operation pressure and flight delays.In the short term,airport surface optimization plays an important role in relieving airport operation pressure,reducing delay losses and reducing environmental pollution.It is also the main way to reduce airport ground conflicts,improve airport operation safety and the capacity of the airport surface.Based on that,this paper makes a further study on the way of the through behind the take-off point.At the same time,the ground-taxiing efficiency of the runway crossing mode is compared between two ways of runway crossing.This paper takes runway crossing as the research background,uses genetic algorithm to analyze the taxiing path under different runway crossing modes,and conducts scientific and systematic research from the theoretical level.The main research contents include: summarizing the research status at home and abroad from two aspects of runway crossing phenomenon and taxiing optimization algorithm,and introducing the research ideas and specific research contents of this paper.The influencing factors of airport scene operation efficiency are analyzed.Based on the performance and scene structure of the aircraft,the way of crossing runway behind the take-off point is discussed,and the surface taxiing optimization model under two crossing runway modes is constructed.By summarizing the current taxiing optimization algorithms commonly used at home and abroad,they are compared and analyzed from their respective algorithm principles,applicability,advantages and disadvantages,and the genetic algorithm is used to solve the model;through the general mathematical model and algorithm of genetic algorithm The principle and solution steps are studied,and the corresponding genetic algorithm is designed based on the background of this paper.Finally,the genetic algorithm is used to solve the problem with Chongqing Jiangbei Airport as an example,and the two traversing methods are simulated by ANYLOGIC software.The calculation results show that the use of the rear side crossing mode can shorten the total ground taxiing time of the aircraft and improve the operating efficiency of the scene,thus the taxiing path under the rear side crossing mode can be optimized. |
