Airport arrival and departure management under weather uncertainty

Abstract

A team of Systems Engineering students at George Mason University have developed an initial design for an integrated system, the Airport Departure Arrival Management System (ADAMS), which provides information and decision support capabilities to air traffic managers, ground controllers, and National Central Flow Control. The objective of ADAMS is to decrease the net arrival-departure delay for a network of airports by leveraging high fidelity weather forecasts, capacity optimization algorithms, and ground sequencing guidance. This paper presents the results of the design efforts, with a brief look at functional architecture, and preliminary simulation results to evaluate the impact of ADAMS on net flight delay and network stability in a six-node network of airports.

Real-time flight scheduling for optimal air traffic flow management

“…However, their main focus is on increasing the accuracy of the trajectory predictions considering the global perspective for a better optimized ATN. In the existing literature, there are works which estimate the airport and airspace capacity under uncertainty conditions as well as their consideration in flow management, while the framework proposed in [55], [58], [59], [60], [61], [62] are for airport and [63], [64], [65], [66], [67], [68], [28] are for en-route airspace.…”