AIR TRAFFIC CONTROL NETWORK-PLANNING MODEL BASED ON SECOND-ORDER MARKOV CHAINS
NW Polhemus - Transportation Research Record, 1980 - trid.trb.org
NW Polhemus
Transportation Research Record, 1980•trid.trb.orgA method designed to assess the impact of increased air traffic demand on flow rates in a
network of en route air traffic control sectors is described. Given projected arrival and
departure rates at airports within a given region, a second-order Markov-chain model is
employed that has transition probabilities estimated from historical data. The technique is
designed to serve as a planning tool and is demonstrated by using data from the New York
Air Route Traffic Control Center.(Author)
network of en route air traffic control sectors is described. Given projected arrival and
departure rates at airports within a given region, a second-order Markov-chain model is
employed that has transition probabilities estimated from historical data. The technique is
designed to serve as a planning tool and is demonstrated by using data from the New York
Air Route Traffic Control Center.(Author)
A method designed to assess the impact of increased air traffic demand on flow rates in a network of en route air traffic control sectors is described. Given projected arrival and departure rates at airports within a given region, a second-order Markov-chain model is employed that has transition probabilities estimated from historical data. The technique is designed to serve as a planning tool and is demonstrated by using data from the New York Air Route Traffic Control Center.(Author)
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