4D Trajectory Planning of Aircraft Taxiing considering Time and Fuel

Most of the traditional taxi path planning studies assume that the aircraft is in uniform speed, and the model is optimized based on the shortest taxi time. Although it is easy to solve, it does not consider the change of the speed profile when the aircraft turns, and the optimal taxiing time of the...

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Main Authors: Ningning Zhao, Nan Li, Yu Sun, Zheng Gao
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/9603968
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spelling doaj-b3fc7a4f022c488c9b8467a49b61c9c82020-12-21T11:41:32ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/960396896039684D Trajectory Planning of Aircraft Taxiing considering Time and FuelNingning Zhao0Nan Li1Yu Sun2Zheng Gao3College of Air Traffic Management, College of Air Traffic Management, Tianjin 300300, ChinaCollege of Air Traffic Management, College of Air Traffic Management, Tianjin 300300, ChinaCollege of Air Traffic Management, College of Air Traffic Management, Tianjin 300300, ChinaTianjin Air Traffic Management Bureau, Civil Aviation Administration of China, Tianjin 300300, ChinaMost of the traditional taxi path planning studies assume that the aircraft is in uniform speed, and the model is optimized based on the shortest taxi time. Although it is easy to solve, it does not consider the change of the speed profile when the aircraft turns, and the optimal taxiing time of the aircraft does not necessarily bring the optimal taxiing fuel consumption. In this paper, the aircraft’s taxi distance and the number of turns in the taxi are considered. The aircraft path planning model with the shortest total distance of the airport surface is established. The improved A∗ algorithm is used to obtain the shortest path P. Based on this, the shortest path P is established. Considering the multitarget velocity profile model of time and fuel consumption, a heuristic search is used to generate an accurate velocity profile for each path to obtain a 4D trajectory of the aircraft and then quantitative analysis of the impact of aircraft pollutant emissions on the airport environment based on 4D trajectory taxi time. The experimental results show that, compared with the traditional optimization method without considering the turning times, the total taxiing distance and turning times of the aircraft are greatly reduced. By balancing the taxiing time and fuel consumption, a set of Pareto-optimal velocity profiles is generated for the aircraft taxiing path; at the same time, it will help the airport save energy and reduce emissions and improve the quality of the airport environment. It has a high practical application value and is expected to be applied in the real-time air traffic control decision of aircraft surface in the future.http://dx.doi.org/10.1155/2020/9603968
collection DOAJ
language English
format Article
sources DOAJ
author Ningning Zhao
Nan Li
Yu Sun
Zheng Gao
spellingShingle Ningning Zhao
Nan Li
Yu Sun
Zheng Gao
4D Trajectory Planning of Aircraft Taxiing considering Time and Fuel
Mathematical Problems in Engineering
author_facet Ningning Zhao
Nan Li
Yu Sun
Zheng Gao
author_sort Ningning Zhao
title 4D Trajectory Planning of Aircraft Taxiing considering Time and Fuel
title_short 4D Trajectory Planning of Aircraft Taxiing considering Time and Fuel
title_full 4D Trajectory Planning of Aircraft Taxiing considering Time and Fuel
title_fullStr 4D Trajectory Planning of Aircraft Taxiing considering Time and Fuel
title_full_unstemmed 4D Trajectory Planning of Aircraft Taxiing considering Time and Fuel
title_sort 4d trajectory planning of aircraft taxiing considering time and fuel
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2020-01-01
description Most of the traditional taxi path planning studies assume that the aircraft is in uniform speed, and the model is optimized based on the shortest taxi time. Although it is easy to solve, it does not consider the change of the speed profile when the aircraft turns, and the optimal taxiing time of the aircraft does not necessarily bring the optimal taxiing fuel consumption. In this paper, the aircraft’s taxi distance and the number of turns in the taxi are considered. The aircraft path planning model with the shortest total distance of the airport surface is established. The improved A∗ algorithm is used to obtain the shortest path P. Based on this, the shortest path P is established. Considering the multitarget velocity profile model of time and fuel consumption, a heuristic search is used to generate an accurate velocity profile for each path to obtain a 4D trajectory of the aircraft and then quantitative analysis of the impact of aircraft pollutant emissions on the airport environment based on 4D trajectory taxi time. The experimental results show that, compared with the traditional optimization method without considering the turning times, the total taxiing distance and turning times of the aircraft are greatly reduced. By balancing the taxiing time and fuel consumption, a set of Pareto-optimal velocity profiles is generated for the aircraft taxiing path; at the same time, it will help the airport save energy and reduce emissions and improve the quality of the airport environment. It has a high practical application value and is expected to be applied in the real-time air traffic control decision of aircraft surface in the future.
url http://dx.doi.org/10.1155/2020/9603968
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