Quantification of Riding Performance and Mental Stress Level when Using Advanced Driver Assistance System for Powered Two-Wheelers

In recent years, ICT (Information and Communication Technologies) such as V2I (Vehicleto- Infrastructure), V2V (Vehicle-to-Vehicle) are being actively developed for driving safety systems across the world. In the future, ADAS (Advanced Driver Assistance System) using ICT and various kinds of sensors will be more implemented on PTW (Powered Two-wheeler) and introducing pace also will be accelerated. However, ADAS such as alarm systems can increase the level of mental stress of the four-wheeler drivers and it can be more critical for PTW riders. Therefore, we propose a method of quantifying the riding performance and mental stress level of PTW riders. In this study, we investigated the riders riding behaviors and mental stress using riding simulator (n = 7, mean age = 24.57). The riding performance was quantified as a single indicator, the mental stress level was assumed the normalized EDA signal when riders encountered a risky situation. As a result, the average mental stress level slightly increased when using the system, but there was no significant difference (t (20) = - 1.366, p=0.187). However, the riding performance improved when using the system (t (20) = -5.996, p\u003c0.001).