Wide-area Rail Temperature Prediction Method Using GIS Data

摘要

Track temperature and axial force can vary because of the influence of shadow cast by geographical features near railway lines. However, exactly how these variations affect track buckling has not yet been clarified. In this paper, the rail temperature distribution of the track is calculated in consideration of shadows cast by geographical features using a rail temperature prediction model. Results from these investigations confirmed that this method of analysis could reproduce drops in rail temperature of between 10°C and 15°C, which corresponds to the rail temperature difference actually observed in shaded and sunny areas.