Comparison of alternative route selection strategies based on simulation optimization

作     者：Ye Bojia Lance Sherry Chen Chun-Hung Tian Yong 

作者机构：National Key Lab of Air Traffic Flow ManagementNanjing University of Aeronautics and AstronauticsNanjing 210016China College of Civil AviationNanjing University of Aeronautics and AstronauticsNanjing 210016China Center for Air Transportation Systems ResearchDepartment of Systems Engineering&Operations ResearchGeorge Mason UniversityFairfaxVA22030USA 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2016年第29卷第6期

页      面：1749-1761页

核心收录：

学科分类：08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：co-supported by the Natural Science Foundation of Jiangsu Province – China (No. BK20160798) the Fundamental Research Funds for the Central Universities – China (Nos. 3082015NJ20150031, 3082014NJ20140017 and 3082014NJ20140015) 

主　　题：Air traffic control Decision support systems Discrete-event simulation Monte Carlo methods OCBA 

摘      要：Air traffic flow management(ATFM) is a collaborative process between the airspace provider and the airspace users. The result of the collaboration should be an outcome that maximizes the utility of the system without excessively penalizing any of the agents. This paper develops a discrete-event simulation model which consists of aggregate departure/arrival airports, flight routes, and sectors for evaluating the alternative collaborative route selection strategy. Given the different perspectives from air traffic control center(ACC) and airlines, eight performancemetrics and five alternative route selection strategies represent the past, current and proposed air traffic flow management operations that were evaluated. The Monte Carlo method combined with the Optimal Computing Budget Allocation(OCBA) simulation optimization technique is employed to assess the performance of different strategies. A case study of the upper air routes in central and southern China shows that the proposed model can be readily implemented to simulate different kinds of air traffic flow management strategies and predict the effect of changes on the airspace system. It also shows that the proposed alternative collaborative route selection strategy is an effective way in alleviating the en-route traffic congestion.