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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.


The flow chart of conflict avoidance strategy.
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pone.0134522.g003: The flow chart of conflict avoidance strategy.

Mentions: Fig 3 is the flow chart of conflict detection. If there is a conflict, then judge the priority of these flights. The priority principle is: large aircraft in preference to small aircraft and departure flight in preference to arrival flight. If the priority of the flight is high, it can go firstly; If the priority of the flight is low, it should apply multi-objective optimization function to determine whether it holds on the position, the waiting time is the safety interval, or looking for new sliding path.


Research on Taxiway Path Optimization Based on Conflict Detection.

Zhou H, Jiang X - PLoS ONE (2015)

The flow chart of conflict avoidance strategy.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0134522.g003: The flow chart of conflict avoidance strategy.
Mentions: Fig 3 is the flow chart of conflict detection. If there is a conflict, then judge the priority of these flights. The priority principle is: large aircraft in preference to small aircraft and departure flight in preference to arrival flight. If the priority of the flight is high, it can go firstly; If the priority of the flight is low, it should apply multi-objective optimization function to determine whether it holds on the position, the waiting time is the safety interval, or looking for new sliding path.

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.