Ride comfort analysis using physiological parameters for e-Health train

Abstract

When passengers ride in a car of a train, they feel the vibration, which partially defines their degree of comfort. The ISO standards based on existing passenger trains, the Wz evaluation method, UIC standards, and the KS are standards in this area. Based on the vibration of the train car ride, the speed, the noise, and only considering mechanical elements, there is a limit for passengers to feel comfort in these situations, especially because problems related to trains on a curved line have not been evaluated. To evaluate car comfort on a tilting train is challenging. Based on readings of a train car, mechanical elements have an impact on the heart, blood pressure, and body temperature; therefore, these biological parameters are evaluated here using train car ride data. In particular, a tilting train operated on a curved line is used with changes of the tilt level to evaluate the level of comfort felt by passengers. This research can be the preliminary study to implement e-Health train that provides optimized ride comfort service to passengers and also, proper feedback service according to changed ride comfort situation that can improve passenger's feeling as well as healthcare service.