Rectification of legibility distance in a driving simulator

Area of Science:

• Human Factors
• Transportation Engineering
• Visual Perception

Background:

• Visual differences between driving simulators and real roads affect traffic sign legibility distances.
• Accurate simulation of traffic sign perception is crucial for effective driver training and research.

Purpose of the Study:

• To propose a theoretical equation for predicting traffic sign legibility distance.
• To develop an algorithm for determining optimal traffic sign magnification in simulators.
• To reduce discrepancies in legibility distances between simulated and real-world driving.

Main Methods:

• Conducted simulator experiments under quasi-static and dynamic driving conditions.
• Performed on-road tests under similar quasi-static and dynamic driving conditions.
• Recruited thirty healthy volunteers for traffic sign recognition tasks.

Main Results:

• The proposed theoretical equation accurately predicted legibility distance.
• The developed algorithm effectively determined traffic sign magnifying power.
• The combined methods significantly reduced legibility distance differences between simulator and real-world environments.

Conclusions:

• The proposed theoretical equation and algorithm enhance the realism of driving simulators.
• This research contributes to more accurate driver behavior studies and training.
• Optimizing traffic sign display in simulators improves the transferability of training to real-world driving.