This paper presents an application of reliability analysis for evaluating the risk associated with passing sight distance standards in terms of expected probability of noncompliance.The calculation of passing sight distance (PSD) is required to determine where drivers can safely execute passing maneuvers. Traditional PSD standards are based on deterministic, theoretical models, which are calibrated using conservative percentiles values for uncertain design inputs to account for uncertainty. They do not provide information about the risk of deviating from them. Reliability analysis is a technique based on limit state design that accounts for the propagation of variability from input random parameters to the design outputs.A total of 1,098 passing maneuvers were observed on several two-lane highways in Spain, using two different data collection methodologies: external observations and instrumented vehicle. The most significant factors affecting PSD were: impeding vehicle speed, passing vehicle acceleration, and headways between impeding and passing vehicles. A uniform acceleration model described passing vehicle trajectory. The characterized input parameters and the passing model were used to perform a reliability analysis. The results showed the probability of noncompliance in different scenarios, defined as the proportion of cases where the required PSD would exceed the available sight distance.American and Spanish PSD standards were evaluated. Geometric design standards presented a probability of noncompliance of about 0.15, while some of the marking standards had probability of noncompliance exceeding 0.85. These standards may be associated with higher risk levels if they were followed by drivers. As well, PSD risk levels were not consistent for different design speeds, since they underestimate operating speed at some locations. Llorca et al., 2014 3 INTRODUCTION Several researchers have noted that existing design guides provide a deterministic approach for