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Systemic Integration of Digital Communications and Databases Airport Infrastructure for Taxi Route Generation

Authors: Sochneva M.A., Selvesyuk N.I. Published: 13.08.2026
Published in issue: #2(155)/2026  
DOI:

 
Category: Informatics, Computer Engineering and Control | Chapter: Mathematical Modelling, Numerical Methods, and Program Complexes  
Keywords: Controller--Pilot Data Link Communications, Aerodrome Mapping Database, Aerodrome Surface Routing Network, automated taxiing, algorithm, situational awareness, onboard computing systems

Abstract

The article discusses the current problem of improving the safety and efficiency of aircraft ground movement at aerodromes by automating taxi route generation in onboard equipment. Traditional methods relying on voice communication and manual entry of instructions contribute to navigation errors in situations of reduced situational awareness due to high crew workload, dense traffic, and complex aerodrome infrastructure. The aerodromes have a high traffic density of aircraft traffic on the taxiways, often in close proximity to each other. This situation requires high accuracy and timely response from the crew, increasing the risk of conflicts or collisions. These factors significantly reduce the safety and efficiency of ground operations, necessitating the implementation of automated systems with digital data transmission and automated taxi route generation. A concept is proposed to integrate Controller--Pilot Data Link Communications (CPDLC) and the Aerodrome Mapping Database (AMDB) within onboard computing systems to enable automated taxi route generation. To solve the problem, a modified algorithm is introduced for a graph based on the Aerodrome Surface Routing Network (ASRN)

Please cite this article in English as:

Sochneva M.A., Selvesyuk N.I. Systemic integration of digital communications and databases airport infrastructure for taxi route generation. Herald of the Bauman Moscow State Technical University, Series Instrument Engineering, 2026, no. 2 (155), pp. 92--106 (in Russ.). EDN: DADHBH

References

[1] Tuncal A., Erol U. Analyzing the new global reporting format from the pilot perspective. IJAST, 2024, vol. 5, no. 2, pp. 111--121. DOI: https://doi.org/10.23890/IJAST.vm05is02.0204

[2] Zhang X., Zhong S., Mahadevan S. Airport surface movement prediction and safety assessment with spatial-temporal graph convolutional neural network. Transp. Res. C: Emerg. Technol., 2022, vol. 144, art. 103873. DOI: https://doi.org/10.1016/j.trc.2022.103873

[3] Sheffield E., Lee S.-Y., Zhang Y. A systematic review of general aviation accident factors, effects and prevention. J. Air Transp. Manag., 2025, vol. 128, art. 102859. DOI: https://doi.org/10.1016/j.jairtraman.2025.102859

[4] Lobanova M., Stepanov F. CPDLC --- towards opportunities. Air Traffic Control, 2019, no. 1, pp. 30--33.

[5] Lobanova M., Stepanov F., Privalov A. Creating the future. Air Traffic Control, 2020, no. 4, pp. 36--39.

[6] Zvinys J., Rudinskas D. Investigation of the application of CPDLC to aerodrome air traffic control. Aviation, 2023, vol. 27, no. 2, pp. 95--103. DOI: https://doi.org/10.3846/aviation.2023.19113

[7] Shen Y., Zhou P., Zheng Y., et al. Taxiing route planning for aircraft on airport surface considering conflicts with ground service vehicles. J. Adv. Transp., 2025, vol. 95, pp. 165--184. DOI: https://doi.org/10.1155/atr/7018472

[8] Lu L., Gao J. Research on aircraft taxiing path optimization based on digraph model and Dijkstra algorithm. IOP Conf. Ser.: Mater. Sc. Eng., 2021, vol. 143, art. 042045. DOI: https://doi.org/10.1088/1757-899X/1043/4/042045

[9] Li B., Liu J., Zha Y., et al. An aircraft towing and taxiing system based on pilot control mode. CAC, 2022, pp. 6206--6211. DOI: https://doi.org/10.1109/CAC57257.2022.10055161

[10] Von der Burg M.F., Sharpanskykh A. Modelling and analysis of autonomous airport surface movement operations based on multi-agent planning. Eur. J. Transp. Infrastruct. Res., 2025, vol. 25, no. 1. DOI: https://doi.org/10.59490/ejtir.2025.25.1.7459

[11] Guimarans D., Padron S. A stochastic approach for planning airport ground support resources. Int. Trans. Oper. Res., 2022, vol. 29, no. 6, pp. 3316-- 3345. DOI: https://doi.org/10.1111/itor.13104

[12] Dong D. Improved A* algorithm for intelligent navigation path planning. Informatica, 2024, vol. 48, no. 10. DOI: https://doi.org/10.31449/inf.v48i10.5693

[13] Ba B., Yu Y., Wang R., et al. A new multiobjective A* algorithm with time window applied to large airports. J. Adv. Transp., 2024, art. 7536217. DOI: https://doi.org/10.1155/atr/7536217

[14] Saber S., Feron E. Optimized escape path planning for commercial aircraft formations. J. Guid. Control Dyn., 2023, vol. 46, no. 11, pp. 2076--2091. DOI: https://doi.org/10.2514/1.G007315

[15] Si W., Sun T., Song C., et al. Design and verification of a transfer path optimization method for an aircraft on the aircraft carrier flight deck. Front. Inform. Technol. Electron. Eng., 2021, vol. 22, no. 9, pp. 1221--1233. DOI: https://doi.org/10.1631/FITEE.2000251

[16] Zaninotto S., Gauci J., Zammit B. An autonomous tow truck algorithm for engineless aircraft taxiing. Aerospace, 2024, vol. 11, no. 4, art. 307. DOI: https://doi.org/10.3390/aerospace11040307

[17] Liu Y., Hu M., Yin J., et al. Adaptive airport taxiing rule management: design, assessment, and configuration. Transp. Res. C Emerg. Technol., 2024, vol. 163, art. 104652. DOI: https://doi.org/10.1016/j.trc.2024.104652

[18] Zhang X., Zhong S., Mahadevan S. Airport surface movement prediction and safety assessment with spatial-temporal graph convolutional neural network. Transp. Res. C: Emerg. Technol., 2022, vol. 144, art. 103873. DOI: https://doi.org/10.1016/j.trc.2022.103873

[19] Zhang M., Liu S., Li H. Multi-objective route planning for aircraft taxiing under different traffic conflict types. J. Aerospace Comput. Inform. Commun., 2021, vol. 19, no. 7, pp. 1--19. DOI: https://doi.org/10.2514/1.i010982

[20] Sochneva M.A., Shalov S.Yu., Popov Yu.S., et al. [Construction of taxiing routes in the aerodrome area based on the data of dispatch service and aerodrome infrastructure]. Mezhdunar. nauch.-tekh. konf. "Grazhdanskaya aviatsiya na sovremennom etape razvitiya nauki, tekhniki i obshchestva" [Int. Sc.-Tech. Conf. "Civil Aviation at the Modern Stage of Development of Science, Technology and Society"]. Moscow, MGTUGA Publ., 2023, pp. 499--500 (in Russ.). EDN: WXSMDR