Abstract
The significant part of air fares is air navigation service charge. Air navigation service providers have opportunity as cover the air traffic control expenses as get a geo-spatial rent abusing their monopolistic nature. Establishing fair air traffic control tariffs needs a model to play different scenarios of tariff changes. An approved method for such a complex task is multi-agent approach. We propose a set of two types of agents: agents of air companies build air routes for all flights minimizing total expenses, agents of air navigation service providers update tariffs trying to maximize income. Based on just two figures reflecting change the tariff and income from air traffic control charge the agent can find a rational tariff in changing environment. Experimental research of this approach on a small air traffic network demonstrated that it is possible to assess effects of different agent’s behavior, as “greedy” when the agent tries to raise the tariff to get maximal spatial rent, as “humble” when it decreases the tariff in order to apply more flights to it’s air control zone.
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Bessmertny, I., Sukhikh, N. (2019). Multi-agent Approach to Optimization of Tariffs for the Air Navigation Service. In: Kabashkin, I., Yatskiv (Jackiva), I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2018. Lecture Notes in Networks and Systems, vol 68. Springer, Cham. https://doi.org/10.1007/978-3-030-12450-2_12
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DOI: https://doi.org/10.1007/978-3-030-12450-2_12
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