Infrastructure plays a pivotal role in community development, exerting an important influence on economic growth. Structural Health Monitoring (SHM) is a multidisciplinary field encompassing the monitoring of infrastructure condition and integrity. Within this field, Operational Modal Analysis (OMA) offers a wide range of vibration-based monitoring solutions to address concerns regarding the reliability and integrity of civil assets while ensuring uninterrupted serviceability. OMA employs procedures to extract damage-sensitive features, indicating the integrity of the assets, without any need to measure the input excitation. This thesis focuses on adapting Automated Frequency Domain Decomposition (AFDD) using the Modal Assurance Criterion (MAC) to acquire essential modal properties such as natural frequencies and mode shapes.