title: Ride comfort analysis with physiological parameters for an e-health train.
abstract: Transportation by train has numerous advantages over road transportation, especially with regard to energy efficiency, ecological features, safety, and punctuality. However, the contrast in ride comfort between standard road transportation and train travel has become a competitive issue. The ride comfort enhancement technology of tilting trains (TTX) is a particularly important issue in the development of the Korean high-speed railroad business. Ride comfort is now defined in international standards such as UIC13 and ISO2631. The Korean standards such as KSR9216 mainly address physical parameters such as vibration and noise. In the area of ride comfort, living quality parameter techniques have recently been considered in Korea, Japan, and Europe. This study introduces biological parameters, particularly variations in heart rate, as a more direct measure of comfort. Biological parameters are based on physiological responses rather than on purely external mechanical parameters. Variability of heart rate and other physiological parameters of passengers are measured in a simulation involving changes in the tilting angle of the TTX. This research is a preliminary study for the implementation of an e-health train, which would provide passengers with optimized ride comfort. The e-health train would also provide feedback on altered ride comfort situations that can improve a passenger's experience and provide a healthcare service on the train. The aim of this research was to develop a ride comfort evaluation system for the railway industry, the automobile industry, and the air industry. The degree of tilt correlated with heart rate, fatigue, and unrelieved alertness.
authors.affiliation: Department of Electrical and Electronics Engineering, Yonsei University , Seoul, Korea.
authors.forename: Youngbum
authors.initials: Y
authors.lastname: Lee
authors.forename: Kwangsoo
authors.initials: K
authors.lastname: Shin
authors.forename: Sangjoon
authors.initials: S
authors.lastname: Lee
authors.forename: Yongsoo
authors.initials: Y
authors.lastname: Song
authors.forename: Sungho
authors.initials: S
authors.lastname: Han
authors.forename: Myoungho
authors.initials: M
authors.lastname: Lee
mesh_terms: D000328:Adult; D001364:Awareness / Q000502:physiology; D003198:Computer Simulation; D005221:Fatigue / Q000503:physiopathology; D005260:Female; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000379:methods*; D009622:Noise; D011890:Railroads / Q000592:standards*; D056910:Republic of Korea; D013686:Telemetry / Q000295:instrumentation; D014732:Vibration; D055815:Young Adult