A Study on the Application of GNSS RTK-Based Train Control System for Enhancing Train Operation Safety in Steelworks

Steelworks present challenging environments for conventional train control systems due to high temperatures, dust, and limited visibility. This study proposes a GNSS RTK-based train control system that integrates high-precision positioning with wireless communication and evaluates its performance through on-site experiments. The proposed system combines RTK positioning data with wheel sensors and track occupancy information to ensure reliable control at key locations such as stop signals and level crossings. Test results demonstrate that the system effectively follows speed limits and braking curves, even under manual driving conditions, and that the control logic operates reliably in real industrial settings. Additionally, in GNSS-denied areas, the system maintains position continuity through supplementary sensor data. These findings confirm the system's applicability in environments where ground equipment installation is limited.

Authors

Publication Details

Journal
The Transactions of The Korean Institute of Electrical Engineers
Published
2025-06-16
DOI
https://doi.org/10.5370/kiee.2025.74.6.1136
Primary Topic
Internet of Things and Social Network Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on the Application of GNSS RTK-Based Train Control System for Enhancing Train Operation Safety in Steelworks

Kyeong‐Hwa Kim, Hyunje Park
The Transactions of The Korean Institute of Electrical Engineers
Internet of Things and Social Network Interactions
article

A Study on the Application of GNSS RTK-Based Train Control System for Enhancing Train Operation Safety in Steelworks

Kyeong‐Hwa Kim, Hyunje Park
article en

Abstract

Steelworks present challenging environments for conventional train control systems due to high temperatures, dust, and limited visibility. This study proposes a GNSS RTK-based train control system that integrates high-precision positioning with wireless communication and evaluates its performance through on-site experiments. The proposed system combines RTK positioning data with wheel sensors and track occupancy information to ensure reliable control at key locations such as stop signals and level crossings. Test results demonstrate that the system effectively follows speed limits and braking curves, even under manual driving conditions, and that the control logic operates reliably in real industrial settings. Additionally, in GNSS-denied areas, the system maintains position continuity through supplementary sensor data. These findings confirm the system's applicability in environments where ground equipment installation is limited.

The Transactions of The Korean Institute of Electrical EngineersVol. 74(6)
Openalex Percentile: Top 86%
Internet of Things and Social Network Interactions
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