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Application of Least Squares with Conditional Equations Method for Railway Track Inventory Using GNSS Observations
Krzysztof Czaplewski1, Zbigniew Wisniewski2, Cezary Specht1
1Department of Geodesy and Oceanography, Faculty of Navigation, Gdynia Maritime University, 81-374 Gdynia, Poland.
Sensors (Basel, Switzerland)
|September 5, 2020
Summary
Mobile satellite surveys using Global Navigation Satellite System (GNSS) receivers offer highly accurate railway track inventory. This study details a novel method for aligning survey data for precise track diagnostics and design.
Area of Science:
- Geodesy and Surveying
- Civil Engineering
- Geospatial Technology
Background:
- Satellite geodetic networks are essential for surveying and mobile applications.
- Mobile satellite surveys can be utilized for railway track inventory, diagnostics, and design.
- Integrating advanced technology with established methods enhances accuracy in railway surveying.
Purpose of the Study:
- To present the results of mobile surveying using Global Navigation Satellite System (GNSS) receivers on a railway track.
- To describe the surveying campaign and data acquisition process.
- To provide a theoretical framework for aligning satellite observation data and its visualization.
Main Methods:
- Deployment of a mobile surveying platform equipped with GNSS receivers.
- Collection of satellite observation data along a 246 km railway track section.
- Application of classical land surveying alignment methods to process satellite survey data.
Main Results:
- Successful acquisition of high-accuracy data for railway track inventory.
- Demonstration of a method for aligning mobile satellite survey observations.
- Visualization of the processed railway track data.
Conclusions:
- Mobile satellite surveying, combined with classical alignment techniques, provides highly accurate solutions for railway track inventory.
- The presented methodology enables precise diagnostics and design of railway infrastructure.
- This approach offers a significant advancement in geospatial technology for railway engineering.
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