A paper titled Validating traffic simulation for crash risk assessment using field crash data authored by Maria Oikonomou and George Yannis has been published in Journal of Safety Research. This study aims to bridge the gap between simulation models and real-world safety observations, contributing to the advancement of more robust safety assessment methodologies. Utilizing Aimsun Next, simulation data were analyzed to extract traffic conflicts, which were then converted into crash risk levels, as well ass real-world crash data between 2017 and 2019. The analysis of simulation and observational data revealed two distinct clusters: roads with low and high crash risks, clearly distinguished with minimal overlap. The findings suggest approximately 87.7% accuracy in predicting road crash risk classifications through traffic simulation, confirming its reliability for safety assessment. This paper validates a framework ready for future research applications in scenarios where direct observation is impractical, enhancing road safety and guiding interventions within evolving traffic conditions and technologies.