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Air Traffic Control, Complex Dynamics of

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Encyclopedia of Complexity and Systems Science
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Abbreviations

Air traffic flow :

Air Traffic Flow represents the dynamic distribution of air traffic over a region of space. Air traffic is undergoing major changes both in developed and developing countries. The demand for air traffic depends on population growth and other economic factors. Air traffic in the United States is expected to grow to 2 or 3 times the current levels of traffic in the next few decades. An understanding of the characteristics of the current and future flows is essential to design a good traffic flow management strategy.

Traffic flow management :

Safety limits the number of aircraft arriving at an airport or in a region of the airspace. Airspace Capacity, the maximum number of aircraft in a region, depends on the technology to keep aircraft separated by a safe distance and weather conditions. Airspace capacity decreases in the presence of severe weather and aircraft may have to be rerouted or delayed on the ground to maintain safety. The imbalance between airspace capacity and traffic flow demand leads to delays. Traffic flow management tries to maintain efficiency of the flows while not exceeding capacity limits.

Complex networks :

A network connects components of a system. The connections and the number of components vary with the function of the network. It is extremely difficult to analyze and visualize the behavior of networks when the number of components in the system becomes large. Recently, there has been a major advance in our understanding of the behavior of networks with large number of components. Several theories have been advanced about the evolution of large biological and engineering networks by authors in diverse disciplines like physics, mathematics, biology and computer science.

Scale-free networks :

Several large biological and engineering networks exhibit a scale-free property in the sense that the probabilistic distribution of their nodes as a function of connections decreases slower than an exponential. These networks are characterized by the fact that a small number of components have a disproportionate influence on the performance of the network. Scale-free networks are tolerant to random failure of components; but are vulnerable to selective attack on components.

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Sridhar, B., Sheth, K. (2009). Air Traffic Control, Complex Dynamics of. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30440-3_16

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