A Method for Rapid Prototyping and Benchmarking of Arrival Sequencing and Scheduling Algorithms

Abstract

A method is introduced for rapid prototyping and benchmarking of arrival sequencing and scheduling algorithms for air traffic management. The method has three main components: 1) algorithm models 2) recorded air traffic simulation data, and 3) a free software library that interfaces the algorithm models with the simulation output database. By accessing simulation data via a relational database, the method makes it possible to quickly implement prototype algorithms and then to evaluate them without a direct interface to the airspace simulator code. To illustrate this method, a basic first-come, firstserved arrival sequencing and scheduling algorithm was studied. Results are offered as benchmarks for comparison with future arrival sequencing and scheduling algorithms.

Enhanced air operations using JView for an air-ground fused situation awareness udop

“…An example is the use of Bayesian Networks for predictive modeling [39]. Similarly, HLIF issues include safety and cost in routing and scheduling aircraft [40,41], conflict scenarios [42], and user preferences [43]. Finally, a key aspect of ACES is the use of weather assessment for ATM [44].…”

Ontologies for nextgen avionics systems

“…Previous ACES efforts include visualization [56] and integration of flight physics, airspace configurations, airport layouts, weather modeling, and scheduling in the ACES system [57]. As related, the IEEE Aerospace and Electronics Systems Society deemed air traffic control (ATC) as a key next decade system engineering need [58].…”