CONCEPTUAL MODELING OF A GNSS-BASED GEODETIC CONTROL NETWORK FOR ELEVATED METRO CONSTRUCTION (CASE STUDY: TASHKENT CITY)

Authors

  • Ruzmatboev Izzatillo Khushnud ugli,Yusupjonov Otabek National University of Uzbekistan named after Mirzo Ulugbek,National University of Uzbekistan named after Mirzo Ulugbek,

DOI:

https://doi.org/10.55640/

Keywords:

elevated metro, GNSS, RTK, geodetic control network, conceptual modeling, accuracy assessment, Tashkent.

Abstract

This study presents a conceptual modeling of a GNSS-based geodetic control network for elevated metro construction using open spatial data. A 12 km model metro corridor in Tashkent city was analyzed using SRTM digital elevation data and OpenStreetMap infrastructure layers to simulate the route alignment. Theoretical accuracy assessments of GNSS Static and Real-Time Kinematic (RTK) methods were conducted and compared against conventional polygonometric surveying. Results demonstrate that GNSS Static post-processing provides horizontal accuracy of ±5 mm and vertical accuracy of ±8 mm, making it the most suitable method for rail alignment control. RTK mode offers efficient real-time accuracy for construction monitoring. An optimal control point spacing of 2 km is recommended for this type of infrastructure, with reduced intervals to 1 km in sections with terrain gradients exceeding 3%.

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References

[1] ISO 17123-8:2015, Optics and optical instruments — Field procedures for testing geodetic and surveying instruments — Part 8: GNSS field measurement systems in real-time kinematic (RTK). International Organization for Standardization, Geneva, 2015.

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[6] UIC (International Union of Railways), Track Geometry and Quality — Requirements for Urban Rail. UIC Leaflet 714, Paris, 2018.

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[8] Kaplan, E. D. and Hegarty, C. J. (Eds.), Understanding GPS/GNSS: Principles and Applications, 3rd ed. Artech House, Norwood, MA, 2017.

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Published

2026-03-10

How to Cite

CONCEPTUAL MODELING OF A GNSS-BASED GEODETIC CONTROL NETWORK FOR ELEVATED METRO CONSTRUCTION (CASE STUDY: TASHKENT CITY). (2026). Journal of Multidisciplinary Sciences and Innovations, 5(03), 322-328. https://doi.org/10.55640/

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