2025 Volume 81 Issue 22 Article ID: 24-22010
In our country, traffic analysis using ETC2.0 probe data is generally conducted on a route-level basis, while lane-level traffic analysis is rarely seen. Existing studies have aimed to enable lane-level traffic analysis by overlaying polylines connecting the positioning points of ETC2.0 probe data onto a mesh and using machine learning to estimate individual vehicle lanes. However, in the curved sections of weaving sections, the polylines could not be overlaid onto the mesh, making it challenging to apply the estimation methods. This study proposes a method for estimating individual vehicle lanes that can be applied even to the curved sections of weaving sections. The validation results demonstrated the potential to estimate vehicle lanes by correcting the polylines in the curved sections. Furthermore, by expanding the width of the mesh, it was shown that it is possible to estimate vehicle lanes even for ETC2.0 probe data positioned outside the lane.
