A jump-linear model based sensitivity study for optimal air traffic flow management under weather uncertainty


Abstract:

In this paper, we develop an analytical approach to planning air traffic flow management (TFM) strategies under uncertain weather. To do that, we model the dynamics of an air traffic flow under uncertain weather as a discrete jump-linear system, which enacts the tracking of transient traffic congestion statistics. We then conduct a sensitivity analysis of traffic congestion to disturbances introduced by mean inflow rate and flow restriction constraint. The integrated framework of jump-linear modeling and sensitivity analysis permits optimal planning for flow redistribution and flow restriction redesign. We demonstrate the design procedure through an example of a major flow splitting into multiple flows that enter a bank of weather zones.

Año de publicación:

2015

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Optimización matemática
    • Optimización matemática
    • Meteorología

    Áreas temáticas de Dewey:

    • Otras ramas de la ingeniería
    • Transporte
    • Transporte marítimo, aéreo y espacial
    Procesado con IAProcesado con IA

    Objetivos de Desarrollo Sostenible:

    • ODS 9: Industria, innovación e infraestructura
    • ODS 11: Ciudades y comunidades sostenibles
    • ODS 13: Acción por el clima
    Procesado con IAProcesado con IA