A new dynamic pushback control method for reducing fuel-burn costs: Using predicted taxi-out time

作     者：Guan LIAN Yaping ZHANG Zhiwei XING Qian LUO Shaowu CHENG 

作者机构：School of Transportation Science and Engineering Harbin Institute of Technology Ground Support Equipment Research Base Civil Aviation University of China The Second Research Institute of Civil Aviation Administration of China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2019年第32卷第3期

页      面：660-673页

核心收录：

学科分类：08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：partially supported by the National Natural Science Foundation of China-Civil Aviation Joint Fund(Nos.U1533203 U1233124.) 

主　　题：Airport surface operation Fuel-burn cost Gate-hold time Pushback control Taxi-out time prediction Taxiway queue threshold 

摘      要：Long departure-taxi-out time leads to significant airport surface congestion, fuel-burn costs, and excessive emissions of greenhouse gases. To reduce these undesirable effects, a Predicted taxi-out time-based Dynamic Pushback Control(PDPC) method is proposed. The implementation of this method requires two steps: first, the taxi-out times for aircraft are predicted by the leastsquares support-vector regression approach of which the parameters are optimized by an introduced improved Firefly algorithm. Then, a dynamic pushback control model equipped with a linear gate-hold penalty function is built, along with a proposed iterative taxiway queue-threshold optimization algorithm for solving the model. A case study with data obtained from Beijing International airport(PEK) is presented. The taxi-out time prediction model achieves predictive accuracy within 3 min and 5 min by 84.71% and 95.66%, respectively. The results of the proposed pushback method show that total operation cost and fuel-burn cost achieve a 14.0% and 21.1%reduction, respectively, as compared to the traditional K-control policy.(3) From the perspective of implementation, using PDPC policy can significantly reduce the queue length in taxiway and taxi-out time. The total operation cost and fuel-burn cost can be curtailed by 37.2% and 52.1%,respectively, as compared to the non-enforcement of any pushback control mechanism. These results show that the proposed pushback control model can reduce fuel-burn costs and airport surface congestion effectively.