Research On The Strategy Of Aircraft Low Emission Taxiing On The Airports

With the sustained and rapid development of civil aviation industry,major airports have become increasingly congested in our country and aircraft taxiing time have become gradually extended.In order to improve the air quality around the airport and achieve the goal of building green airport,it is very important to reduce the aircraft pollutants emissions during the whole taxiing stage in the airport.This paper from the aircraft taxiing mode,departure control and taxi path optimization three aspects studied the low emission taxiing strategy.Firstly,the categories of pollutants emitted by aircraft engines were analyzed.The standard landing and take-off cycle(LTO)was introduced.The fuel consumption and pollutants emissions calculation model for all-engine taxi,single-engine taxi,tow-outs and electronic taxi mode were established.Considering the airport external environment influence,the coefficient of emission model were calibrated.Calculation and analysis have been down,the results show that compared with all-engine taxi mode the above three taxi mode can reduce the pollutants emission effectively.Then,the aircraft departure taxiing process was analyzed.Airport surveillance radar data was utilized to studied the runway utilization and the aircraft takeoff rate under different number of departure aircraft in the airport.Considered the main factors affecting the aircraft departure taxiing time,a multiple linear regression model was established to predict the aircraft departure taxiing time.The effects of different aircraft pushback control strategies on aircraft departure time,fuel consumption and emissions are analyzed.Finally,aircraft movement characteristic was analyzed by using the airport surveillance radar data.The factors of influence aircraft taxiing time was considered.A aircraft taxi path optimization model was established for the target of the shortest taxiing time.Utilizing aircraft dynamic movement model,the aircraft taxi path conflict which was generated by taxi path optimization model was constrainted.The genetic algorithm was used for solve the model.The simulation was carried out with real flight data and the results show that the optimization path can greatly reduce the aircraft taxiing time.