Data Verification of traffic regulation for large vehicles

Abstract

Digital twins require an accurate reproduction of physical spaces in digital form. Although it is preferable to capture information from the physical environment in high density, errors or omissions in the data may lead to accidents or malfunctions. The cross-verifying multiple data sources is necessary correcting and supplementing digital twins. This study examines the feasibility of verifying JARTIC data-indicating traffic regulation for large vehicles- by combining geotagged photo data (e.g., from Google Street View) with road coordinate data. Traffic signs in the photographs were detected using YOLOX, and restricted areas for large vehicles were estimated by integration of the corresponding coordinates with the road network information obtained from OpenStreetMap. These estimates suggests that cross-verification is feasible.