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A greedy algorithm based on joint assignment of airport gates and taxiways in large hub airports

High Technology Letters 2020年第4期26卷 417-423页

作者：聂彤彤 Wu Wenjun He Qichang Zhang Xuanyi Sun Yang Zhang Yanhua Faculty of Information Technology Beijing University of TechnologyBeijing 100124P.R.China Beijing Capital International Airport Co. LtdBeijing 100621P.R.China

With the rapid development of civil aviation in recent years,the management and assignment of airport resources are becoming more and more *** the various airport resources,gates and taxiways are very important,therefore,many researchers focus on the airport gate and taxiway assignment ***,the joint assignment algorithm of airport gates and taxiways with realistic airport data has not been well studied.A greedy algorithm based on joint assignment of airport gates and taxiways using the data of a large hub airport in China is *** objective is maximizing the ratio of fixed gates and minimizing the ratio of taxiway *** results show that it outperforms other assignment schemes.

关键词： greedy algorithm airport gate taxiway resources assignment

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

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Chinese Journal of Aeronautics 2019年第3期32卷 660-673页

作者： Guan LIAN Yaping ZHANG Zhiwei XING Qian LUO Shaowu CHENG 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

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.

关键词： Airport surface operation Fuel-burn cost Gate-hold time Pushback control Taxi-out time prediction taxiway queue threshold

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