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Research on Taxiway Path Optimization Based on Conflict Detection.

Zhou H, Jiang X - PLoS ONE (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, Nanjing, 210016, Jiangsu, China.

ABSTRACT
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.

No MeSH data available.


Taxiing system diagram.
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pone.0134522.g001: Taxiing system diagram.

Mentions: The basic airport taxiway system layout is given in Fig 1. Node represents the intersection of taxiways and runways, taxiways and taxiways, a line segment with direction represents sliding path among all nodes. So the whole taxiing system can be simplified into a directed network diagram. N is the collection of all nodes, L is the collection of all links. In the process of sliding, aircraft movement has its direction, means that it can slide at this path in both directions. In order to express this situation through the network map, it can be indicated by two nodes with a pointing arrow. So in the Fig 1, the link L from left to right can be expressed as n1→n2, while from right to left is n2→n1.


Research on Taxiway Path Optimization Based on Conflict Detection.

Zhou H, Jiang X - PLoS ONE (2015)

Taxiing system diagram.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4520455&req=5

pone.0134522.g001: Taxiing system diagram.
Mentions: The basic airport taxiway system layout is given in Fig 1. Node represents the intersection of taxiways and runways, taxiways and taxiways, a line segment with direction represents sliding path among all nodes. So the whole taxiing system can be simplified into a directed network diagram. N is the collection of all nodes, L is the collection of all links. In the process of sliding, aircraft movement has its direction, means that it can slide at this path in both directions. In order to express this situation through the network map, it can be indicated by two nodes with a pointing arrow. So in the Fig 1, the link L from left to right can be expressed as n1→n2, while from right to left is n2→n1.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, Nanjing, 210016, Jiangsu, China.

ABSTRACT
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.

No MeSH data available.