Abstract
In order to reduce the taxiing time of departing aircraft and reduce the fuel consumption and exhaust emissions of the aircraft, Shanghai Hongqiao Airport was taken as an example to study the control strategy for aircraft departure. In this paper, the influence of the number of departure aircraft on the runway utilization rate, the takeoff rate, and the departure rate of flight departures under the conditions of airport runway capacity constraints are studied. The influence of factors, such as the number of departure aircraft, the gate position of the aircraft, and the configuration of airport arrival and departure runways, on the aircraft taxiing time for departure is analyzed. Based on a multivariate linear regression equation, a time prediction model of aircraft departure taxiing time is established. The fuel consumption and pollutant emissions of aircraft are calculated. The experimental results show that, without reducing the utilization rate of the runway and the departure rate of flights, implementing a reasonable pushback number for control of departing aircraft during busy hours can reduce the departure taxiing time of aircraft by nearly 32%, effectively reducing the fuel consumption and pollutant emissions during taxiing on the airport surface.
Highlights
A Study on the Strategy for Departure AircraftXinhua Zhu 1,2 , Nan Li 3 , Yu Sun 3 , Hongfei Zhang 4 , Kai Wang 5, * and Sang-Bing Tsai 5,6, *
With the rapid development of air transportation, the number of flights at major airports in China has been increasing, making airport surface runways congested
This study shows that using the method of delaying the pushback time of departing aircraft can reduce the number of airport surface
Summary
Xinhua Zhu 1,2 , Nan Li 3 , Yu Sun 3 , Hongfei Zhang 4 , Kai Wang 5, * and Sang-Bing Tsai 5,6, *. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China. College of Business Administration, Capital University of Economics and Business, Beijing 100070, China. Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China. Received: 2 August 2018; Accepted: 13 September 2018; Published: 17 September 2018
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