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FACILITY REQUIREMENTS System (ILS) CAT III, allowing properly equipped aircraft to land during zero visibility Instrument Metrological Conditions (IMC). The current runway configuration provides sufficient wind coverage in accordance with FAA Advisory Circular 150/5300-13A Change 1, Airport Design. AIRFIELD CAPACITY This section analyzes the various components making up the airfield as well as the ability of each facility to accommodate forecast demand. Measuring Airfield Capacity Airport capacity (or throughput capacity), as defined in FAA Advisory Circular 150/5060-5, Airport Capacity and Delay, is a “measure of the maximum number of aircraft operations which can be accommodated on the airport or airport component in an hour.” Additionally, the airfield capacity analysis identifies the theoretical annual capacity of the airfield, referred to as the annual service volume (ASV). Capacity is influenced by a number of factors including airport layout, aircraft mix, ATC operational procedures, navigation equipment, and meteorological conditions. The FAA has sincere interest in better understanding and improving airport capacities within the National Airspace System (NAS) and therefore has funded the creation and maintenance of a modern capacity modeling software called 3 runwaySimulator. This modeling software uses a Monte Carlo simulation combined with a trajectory model, airport and fleet characteristics, and FAA airspace separation rules, to produce a more accurate estimate of airfield capacity than previous FAA models. The runwaySimulator model is capable of understanding NextGen improvements and complex interactions between multiple runways, as well as 4 incorporating newly established wake class separations while simulating efficient aircraft sequencing. The following analysis of Eugene Airport airfield capacity was developed using the runwaySimulator model along with FAA Advisory Circular 150/5060-5, Airport Capacity and Delay guidance. Airport Fleet Mix The type of aircraft arriving at Eugene Airport play a significant role in determining the overall airfield capacity. These aircraft, known as the fleet mix, impact facility planning and engineering decisions for the design and geometry of the airfield. Table 3-1 provides the fleet mix used to model Eugene Airport airfield capacity and the taxiway connector analysis found later in this chapter. This fleet mix represents the percentage of operations by aircraft type found earlier in Chapter 2, Aviation Demand Forecasts. thst Aircraft operations data was collected on September 20 and 21, 2016 through a cooperative effort with Eugene Air Traffic Control in order to refine the types of general aviation operations which were occurring at the Airport. The data collected includes: aircraft type, landing runway, meteorological conditions, pavement conditions, runway occupancy time (from touchdown to taxiway exit hold-short line), taxiway exit designator, and air carrier (if applicable). Table 3-1 shows the general conclusions of that study and the aircraft percentages used to model airfield capacity and taxiway connections. 3 A Monte Carlo simulation performs repeated random sampling to model different outcomes in a process which can’t be easily predicted due to the intervention of random variables in order to ultimately arrive at a result. 4 FAA Order JO 7110.659C Wake Turbulence Recategorization, Effective February 29, 2016 EUGENE AIRPORT MASTER PLAN 3-4