Determination of the Optimal Path in Taxiways at Airports via the Probability Method

Abstract

The problem of flights delay has been addressed in this article. A new program to help the air controller has been implemented. The main objective is to improve the airport performance ability to receive more aircrafts during the rush hours by accelerating the taxiway and landing operations through two strategies. First, determine the optimal path in the taxiway network for arrival and departure flights. A modeling of the Taxiway network has been programmed by C Language. The probability theory of Dijkstra has been applied to determine the optimal path ensuring minimum taxi time in the taxiway network. A new function of speed change has been introduced, which guarantees the comfort of the passengers while the airplane is moving on the taxiway. The fuel consumption is also estimated as the aircraft passes through the taxiway network paths. Second, the program predicts the time of landing and approaching according to aircraft type using the aircraft performance analysis equations. This increases the efficiency of choosing the optimal way and decreases the flights delay for landing since it deals with the situation according to the aircraft type, size and speed. The program arranges automatically the arrivals flights expected to arrive to the airport at the same time according to the predicted landing and approaching time of the aircraft. This program helps to decrease the time delay and the fuel consumption. The paper presents an example of six arrival flights with different aircraft types. This example shows that using the proposed program decreases the flight delay for about 17 minutes which is really an important time.

Authors and Affiliations

Safir Salim, Mustafa Taki

Keywords

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  • EP ID EP392833
  • DOI 10.9790/9622-0711035768.
  • Views 82
  • Downloads 0

How To Cite

Safir Salim, Mustafa Taki (2017). Determination of the Optimal Path in Taxiways at Airports via the Probability Method. International Journal of engineering Research and Applications, 7(11), 57-68. https://europub.co.uk/articles/-A-392833