Research On Optimization Method Of Flight Pushback Time For Busy Airports

With the rapid development of the air transport industry,the capacity of major busy airports tends to be saturated.Especially during the peak period of flight departure,the flight pushback time is relatively concentrated,and the amount of taxi-out flights is high.The existing flight pushback mechanism has not been linked to airport capacity,resulting in congestion at the peak of flight departure period in busy airports,and the waiting time with engine on of aircrafts on the ground increases,which increases unnecessary ground fuel consumption.Therefore,how to link the flight pushback with the airport capacity,by optimizing the pushback time,converting the aircraft's ground driving waiting time into the parking waiting time at the parking space,reducing the aircraft ground fuel consumption has become an urgent problem to be solved.After analyzing the flight departure operation process,it is found that the accurate prediction of the taxi-out time is the premise to ensure that the optimized flight takes off at the punctual time.Therefore,based on the flight departure operation characteristics,the Gaussian kernel weighting function is improved,and combined with local regression and weighted support vector regression,a flight taxi-out time prediction model based on local weighted support vector regression is constructed.The average taxi speed threshold is set according to the fitted curve of the amount of taxiing and the average taxi speed and the fitted curve of the amount of taxiing and takeoff amount.Then,forecast the average taxi speed of the departing flight within the period and the speed is used as a monitoring amount to determine whether the time period will enter the peak period of departure.Finally,the pushback time optimization method is designed in two stages.The first stage optimizes the pushback slot by calculating the recommended pushback rate.In the second stage,the minimum average waiting time of passengers is taken as the objective function,and the takeoff delay and maximum delay pushback time are avoided as constraints,and the improved discrete differential evolution algorithm is used to find the optimal pushback sequence.The optimized pushback time is calculated by combining the pushback slot and the pushback sequence.The simulation verification of the flight operation data shows that the optimization method can effectively reduce the peak value of the amount of taxiing,alleviate airport congestion,reduce flight taxi-out time and reduce taxi fuel consumption.