ISBN: 978-981-14-4787-7 DOI: 10.18178/wcse.2020.06.016
An Optimized Scheduling Model for Multi-skilled Air Traffic Controllers Based on Fatigue Analysis
Abstract—In recent years, the number of air insecurity incidents caused by fatigue factors has been increasing. As one of its important components, the shortage of controllers in regional airports has also attracted more attention. As the situation of "one person with multiple positions" in regional airports, it is necessary to optimize the scheduling model of multi-skilled Air Traffic Controller. In this work, a scheduling model of Multi-skilled air traffic controllers scheduling model based on fatigue analysis is proposed. Firstly, the fatigue model and risk level are established. Then 13 Constraint conditions in scheduling problems are listed. A genetic algorithm is used to solve the scheduling model for controllers, meteorologists, technical monitor officers based on the consideration of fatigue. The case study shows that the proposed scheduling model meets the needs of the regional airport. It can also save human resources costs and reduce controller fatigue to achieve the maximum benefit.
Index Terms— regional airports, air traffic controllers, fatigue, scheduling model
Miao-zhuang Xu, Nian-cheng Zhang, Ao-bo Lv, Bo-han Xu, Chao Li, Tian-xu Liu, Run-qing Zhang, Zhi-yuan Shen
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, CHINA
Cite: Miao-zhuang Xu, Nian-cheng Zhang, Ao-bo Lv, Bo-han Xu, Chao Li, Tian-xu Liu, Run-qing Zhang, Zhi-yuan Shen, " An Optimized Scheduling Model for Multi-skilled Air Traffic Controllers Based on Fatigue Analysis " Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering (WCSE 2020), pp. 93-99, Shanghai, China, 19-21 June, 2020.