Development of Low-cost Train Patrol Support Method Using Smartphone

Abstract

Regional railway companies are facing difficult business conditions. However, railway facilities and rolling stock inspections and maintenance are still required to ensure safe and stable train operations. This study introduces the development of a smartphone-based train patrol support application as a low-cost track condition management method that can be introduced even by regional railway companies. Test measurements were made using the application on a commercial line. We also investigated possible uses of the measurement data. Results showed that acceleration data are effective for train vibration management, and forward view video data are effective for understanding track conditions during desktop reviews.