Research on Taxiway Path Optimization Based on Conflict Detection.

Taxiway path planning is one of the effective measures to make full use of the airport resources, and the optimized paths can ensure the safety of the aircraft during the sliding process. In this paper, the taxiway path planning based on conflict detection is considered. Specific steps are shown as...

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Main Authors: Hang Zhou, Xinxin Jiang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4520455?pdf=render
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author Hang Zhou
Xinxin Jiang
author_facet Hang Zhou
Xinxin Jiang
author_sort Hang Zhou
collection DOAJ
description Taxiway path planning is one of the effective measures to make full use of the airport resources, and the optimized paths can ensure the safety of the aircraft during the sliding process. In this paper, the taxiway path planning based on conflict detection is considered. Specific steps are shown as follows: firstly, make an improvement on A * algorithm, the conflict detection strategy is added to search for the shortest and safe path in the static taxiway network. Then, according to the sliding speed of aircraft, a time table for each node is determined and the safety interval is treated as the constraint to judge whether there is a conflict or not. The intelligent initial path planning model is established based on the results. Finally, make an example in an airport simulation environment, detect and relieve the conflict to ensure the safety. The results indicate that the model established in this paper is effective and feasible. Meanwhile, make comparison with the improved A*algorithm and other intelligent algorithms, conclude that the improved A*algorithm has great advantages. It could not only optimize taxiway path, but also ensure the safety of the sliding process and improve the operational efficiency.
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spelling doaj.art-cad38fa4e86648f4bc9e0a62d07b16262022-12-22T02:25:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01107e013452210.1371/journal.pone.0134522Research on Taxiway Path Optimization Based on Conflict Detection.Hang ZhouXinxin JiangTaxiway path planning is one of the effective measures to make full use of the airport resources, and the optimized paths can ensure the safety of the aircraft during the sliding process. In this paper, the taxiway path planning based on conflict detection is considered. Specific steps are shown as follows: firstly, make an improvement on A * algorithm, the conflict detection strategy is added to search for the shortest and safe path in the static taxiway network. Then, according to the sliding speed of aircraft, a time table for each node is determined and the safety interval is treated as the constraint to judge whether there is a conflict or not. The intelligent initial path planning model is established based on the results. Finally, make an example in an airport simulation environment, detect and relieve the conflict to ensure the safety. The results indicate that the model established in this paper is effective and feasible. Meanwhile, make comparison with the improved A*algorithm and other intelligent algorithms, conclude that the improved A*algorithm has great advantages. It could not only optimize taxiway path, but also ensure the safety of the sliding process and improve the operational efficiency.http://europepmc.org/articles/PMC4520455?pdf=render
spellingShingle Hang Zhou
Xinxin Jiang
Research on Taxiway Path Optimization Based on Conflict Detection.
PLoS ONE
title Research on Taxiway Path Optimization Based on Conflict Detection.
title_full Research on Taxiway Path Optimization Based on Conflict Detection.
title_fullStr Research on Taxiway Path Optimization Based on Conflict Detection.
title_full_unstemmed Research on Taxiway Path Optimization Based on Conflict Detection.
title_short Research on Taxiway Path Optimization Based on Conflict Detection.
title_sort research on taxiway path optimization based on conflict detection
url http://europepmc.org/articles/PMC4520455?pdf=render
work_keys_str_mv AT hangzhou researchontaxiwaypathoptimizationbasedonconflictdetection
AT xinxinjiang researchontaxiwaypathoptimizationbasedonconflictdetection