This document presents models developed to predict rates of different types of accidents (total, fatal, injury, damage) on a rural road in Saudi Arabia based on geometric design elements and traffic volume. Statistical analyses were conducted using accident and road data over 5 years. Multiple linear regression models were developed relating accident rates to average curvature, average gradient, number of horizontal/vertical curves, and average annual daily traffic. The models showed acceptable correlation and were found to be statistically significant, indicating relationships between accident rates and road/traffic characteristics. The developed models can be used for short-term accident prediction and identification of safety-influencing factors.