MINIMIZING THE RISK OF ACCIDENTS IN-GROUND AIRPORT OPERATIONS CARRIED OUT BY AIRCRAFT
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Abstract
The paper presents the problem of managing traffic safety on the airport apron. The article aims to develop a method to minimize the risk of hazardous events in ground airport operations carried out by aircraft during take-off or landing. The development of the method required defining a decision-making model for accident risk management in airport ground operations. The model designated in this work is a decision model consisting of the following stages, i.e. development of input data, decision variables, constraints and criterion functions. Collision-free aircraft traffic control is essential in managing traffic safety on the airport apron. A new approach to managing traffic safety on the airport apron presented in this work is to minimize dangerous situations between aircraft, and ground support vehicles. An ant algorithm was developed to determine collision-free flight routes for aircraft on the airport apron. The method based on the ant algorithm was verified on data from the Chopin airport in Warsaw. The verification confirmed its high effectiveness. The movement of ground service vehicles was modeled using the GlobSim traffic simulator.
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References
Agustín A., Alonso-Ayuso A., Escudero L. F., Pizarro C., On air traffic flow management with rerouting, „Eur. J. Oper. Res.” 2012, t. 219, nr 1, pp. 167-177.
Andreatta G., Brunetta L., Multiairport Ground Holding Problem: A Computational Evaluation of Exact Algorithms, „Operations Research” 1998 , vol. 46(1), pp. 57-64.
Andreatta G., Romanin-Jacur G., Aircraft Flow Management under Congestion, „Transp. Sci.” 1987, t. 21, nr 4, pp. 249-253.
Ball M. O., Hoffman R., Odoni A. R., Rifkin R., A Stochastic Integer Program with Dual Network Structure and Its Application to the Ground-Holding Problem, „Oper. Res.,” 2003, t. 51, nr 1, pp. 167-171.
Beasley J. E., Krishnamoorthy M., Sharaiha Y. M., Abramson D., Scheduling Aircraft Landings—The Static Case, „Transportation Science” 2000, t. 34, nr 2, pp. 180-197.
Bennell J. A., Mesgarpour M., Potts C. N., Airport runway scheduling, „Ann Oper Res” 2013, t. 204, nr 1, pp. 249-270.
Bihar R. A., A conceptual solution to the aircraft gate assignment problem using 0, 1 linear programming, „Computers & Industrial Engineering” 1990, t. 19, nr 1, pp. 280-284.
Certificate granted to the software by the Civil Aviation Office on September 17, 2018 No. PL/FISP-TO/PWBISEK.
Čokorilo O., Human factor modelling for fast-time simulations in aviation, „Aircr. Eng. Aerosp. Technol. Int. J.”,2013, Vol. 85 No. 5, pp. 389-405.
D’Ariano A., Pacciarelli D., Pistelli M., Pranzo M., Real-time scheduling of aircraft arrivals and departures in a terminal maneuvering area, „Networks” 2015, t. 65, nr 3, pp. 212-227.
Dorigo M., Gambardela L. M., Ant Colonies for the Travelling Salesman Problem, „BioSystems” 1997, Vol.43, pp. 73-81.
Dorigo M., Gambardela L. M., Ant Colony System: A cooperative learning approach to the traveling salesman problem, „IEEE Transactions on Evolutionary Computation” 1997, Vol.1(1), pp. 53-66.
Dorigo M., Stutzle T., Ant Colony Optimization, Bradford Books 2004.
Fahle T., Feldmann R., Götz S., Grothklags S., Monien B., The Aircraft Sequencing Problem, [in:] Computer Science in Perspective, Springer 2023, t. 2598, pp. 152-166.
Fiuk J., Chamier-Gliszczynski N., Jacyna M., Izdebski M., Energy Efficiency of Transport Tasks Performed by the Air SAR System in the Baltic Sea: Case Study, „Energies” 2022, 15(2), pp. 643.
Girish B. S., An efficient hybrid particle swarm optimization algorithm in a rolling horizon framework for the aircraft landing problem, „Applied Soft Computing” 2016, t. 44, pp. 200-221.
Gołda P., Zawisza T., Izdebski M., Evaluation of efficiency and reliability of airport processes using simulation tools, „Eksploatacja i Niezawodność” 2021, vol. 23, nr 4, s. 659-669.
Izdebski M., Gołda P., Zawisza T., The Use of Simulation Tools to Minimize the Risk of Dangerous Events on the Airport Apron, [in:] Advanced Solutions and Practical Applications in Road Traffic Engineering : conference proceedings / Macioszek Elżbieta, Granà Anna, Sierpiński Grzegorz (red.), Lecture Notes in Networks and Systems, 2023, vol. 604, Springer, s.91-107, ISBN 978-3-031-22358-7. DOI:10.1007/978-3-031-22359-4_6.
Izdebski M., Gołda P., Zawisza T., The use of the ant algorithm in the model of safety management of the traffic organization at the apron, „Journal of KONBiN” 2022, vol. 52, nr 2, s.63-76.
Izdebski M., Jacyna M., An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises, „Energies” 2021, vol. 14, nr 7, s.1-23.
Liu P. B., Hansen M., Mukherjee A., Scenario-based air traffic flow management: From theory to practice, „Transp. Res. Part B Methodol.” 2008, t. 42, nr 7, pp. 685-702.
Mascio P. D., Rappoli G., Moretti L.: Analytical Method for Calculating Sustainable Airport Capacity. Sustainability, t. 12, nr 21, Art. nr 21, 2020.
Ng K. K. H., Lee C. K. M., Chan F. T. S., Lv Y., Review on meta-heuristics approaches for airside operation research, „Applied Soft Computing” 2018, t. 66, s. 104-133.
Ntakolia C., Lyridis D. V., A n − D ant colony optimization with fuzzy logic for air traffic flow management, „Oper. Res.” 2022, 22, pp. 5035-5053.
Samà M., D’Ariano A., Corman F., Pacciarelli D., Coordination of scheduling decisions in the management of airport airspace and taxiway operations, „Transportation Research Part A: Policy and Practice” 2018, t. 114, pp. 398-411.
Samà M., D’Ariano A., D’Ariano P., Pacciarelli D., Optimal aircraft scheduling and routing at a terminal control area during disturbances, „Transportation Research Part C: Emerging Technologies” 2014, t. 47, pp. 61-85.