T. Myers, Metron Aviation, D. Kierstead, Daniel H. Wagner
{"title":"NAS的全动态网络流模型","authors":"T. Myers, Metron Aviation, D. Kierstead, Daniel H. Wagner","doi":"10.1109/ICNSURV.2011.5935279","DOIUrl":null,"url":null,"abstract":"We present a fully-dynamic multi-commodity Network Flow Model (NetFM) representation of the National Airspace System (NAS). NetFM is a high-level aggregate model incorporating time-varying demand and capacity profiles to define the optimal routing and scheduling of all NAS traffic within a matter of minutes. NetFM routing solutions are not limited to a set of user-inputted route options. Rather, spatial-temporal flight paths are computed through a hexagonal network of nodes and arcs over successive time steps. We present the NetFM formulation. NetFM results include a set of diagnostics which show predicted capacity, traffic flow patterns, and regions where additional capacity would be most beneficial. These diagnostic results may offer improved situational awareness and decision support to Traffic Flow Management (TFM) planners. NetFM capabilities also enable a laboratory in which TFM researchers can study advanced TFM concepts such as integrated airspace flow and ground delay programs.","PeriodicalId":263977,"journal":{"name":"2011 Integrated Communications, Navigation, and Surveillance Conference Proceedings","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A fully-dynamic network flow model of the NAS\",\"authors\":\"T. Myers, Metron Aviation, D. Kierstead, Daniel H. Wagner\",\"doi\":\"10.1109/ICNSURV.2011.5935279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a fully-dynamic multi-commodity Network Flow Model (NetFM) representation of the National Airspace System (NAS). NetFM is a high-level aggregate model incorporating time-varying demand and capacity profiles to define the optimal routing and scheduling of all NAS traffic within a matter of minutes. NetFM routing solutions are not limited to a set of user-inputted route options. Rather, spatial-temporal flight paths are computed through a hexagonal network of nodes and arcs over successive time steps. We present the NetFM formulation. NetFM results include a set of diagnostics which show predicted capacity, traffic flow patterns, and regions where additional capacity would be most beneficial. These diagnostic results may offer improved situational awareness and decision support to Traffic Flow Management (TFM) planners. NetFM capabilities also enable a laboratory in which TFM researchers can study advanced TFM concepts such as integrated airspace flow and ground delay programs.\",\"PeriodicalId\":263977,\"journal\":{\"name\":\"2011 Integrated Communications, Navigation, and Surveillance Conference Proceedings\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Integrated Communications, Navigation, and Surveillance Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSURV.2011.5935279\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Integrated Communications, Navigation, and Surveillance Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSURV.2011.5935279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a fully-dynamic multi-commodity Network Flow Model (NetFM) representation of the National Airspace System (NAS). NetFM is a high-level aggregate model incorporating time-varying demand and capacity profiles to define the optimal routing and scheduling of all NAS traffic within a matter of minutes. NetFM routing solutions are not limited to a set of user-inputted route options. Rather, spatial-temporal flight paths are computed through a hexagonal network of nodes and arcs over successive time steps. We present the NetFM formulation. NetFM results include a set of diagnostics which show predicted capacity, traffic flow patterns, and regions where additional capacity would be most beneficial. These diagnostic results may offer improved situational awareness and decision support to Traffic Flow Management (TFM) planners. NetFM capabilities also enable a laboratory in which TFM researchers can study advanced TFM concepts such as integrated airspace flow and ground delay programs.