Airport Field Path Optimization Method Based on Conflict Hotspot Avoidance Mechanism
Source abstract
Abstract
The state path optimization model, alongside strategies like slowing down and waiting, aims to identify optimal aircraft routes that minimize the total taxi time and prevent conflicts. Optimization reduces taxiing times for aircraft YZR7537, CES2558, and CSZ9806, while slightly increasing the times for CSN6310 and CSN3210 due to conflict hotspot avoidance measures. This approach also decreases the number of aircraft passing through key conflict hotspots, effectively reducing both conflicts and risk levels in these areas. Consequently, the total taxiing time for the optimized aircraft is cut by 53 s, enhancing airport operational efficiency. The proposed model serves as a theoretical foundation for developing an intelligent airport operation management system.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Air Traffic Management and Optimization · Robotic Path Planning Algorithms · Aviation Industry Analysis and Trends
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
State Key Laboratory of Air Traffic Management System, Nanjing 211106, China
Funding
National Key R&D Program of China · the National Natural Science Foundation of China · Nanjing University of Aeronautics and Astronautics Innovation Program Project · Civil Aviation Safety Operation and Security Capacity Building Fund Project “Research and Demonstration Validation of Key Technologies for Performance Assessment of Flight Time Allocation
References (34)
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