OPTIMIZING SIGNAGE VISIBILITY AND ATHLETE WAYFINDING IN HIGHSPEED RAILWAY STATIONS: A STUDY BASED ON THE HSV COLOR MODEL

Abstract

In the dynamic environment of high-speed railway stations, where athletes and other passengers frequently navigate during travel to competitions, the efficacy of signage systems is critical for efficient wayfinding and time management. This study explores the use of a visual attention model to better understand and simulate the visual attention mechanisms humans employ when navigating complex visual environments. Building on the foundation of the established Itti visual attention model, this research adapts the model to the specific needs and challenges of Hangzhou West high-speed railway station, identifying existing gaps in its signage system. An enhanced visual attention model, incorporating the HSV (Hue, Saturation, Value) color model, has been developed to better suit the high visual demands of athletes and other travelers in these fast-paced settings. This model was evaluated through a series of eye-tracking experiments, comparing its performance against traditional models to assess improvements in usability and effectiveness. The findings suggest that the revised HSV-based model significantly enhances the visibility and interpretability of signage, thereby facilitating quicker and more accurate wayfinding. The implications of this research are substantial, offering practical insights for the design and evaluation of signage systems in transportation hubs. By optimizing these visual communication tools, the study aims to improve the navigational experience of athletes, ensuring they can move through transit environments with greater ease and focus, ultimately aiding their performance and reducing travel-related stress.