Terminal Airspace Sector Optimum Partition Based on Way Points
Jun Luo, Huan Liang Lv
Abstract
Jun Luo, Huan Liang Lv
Abstract
Abstract. In order to reduce air traffic controller workload, optimized terminal sector partition was studied. The terminal way point capacity evaluation model was built, power polygon divided the terminal area into several units according to the vital way points, each unit workload could be calculated by the European method “RAMS”, and the sector optimum mathematical model was built. One improved ant colony optimization was adopted to solve the model. At last, an example of one terminal airspace sector partition was given. The results show it is an effective method to be applied into sector optimum partition based on way points.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Abstract. In order to reduce air traffic controller workload, optimized terminal sector partition was studied. The terminal way point capacity evaluation model was built, power polygon divided the terminal area into several units according to the vital way points, each unit workload could be calculated by the European method “RAMS”, and the sector optimum mathematical model was built. One improved ant colony optimization was adopted to solve the model. At last, an example of one terminal airspace sector partition was given. The results show it is an effective method to be applied into sector optimum partition based on way points.
Key concepts: Partition (number theory), Terminal (telecommunication), Partition problem, Workload, Ant colony optimization algorithms, Computer science, Operations research, Engineering