Abstract: The safety and long-term performance of bridge infrastructure require monitoring systems capable of capturing structural responses under real operating conditions. Conventional point-based sensors provide accurate local measurements but are limited in spatial coverage and scalability. Distributed Acoustic Sensing (DAS) offers a promising alternative through continuous distributed measurements along optical fiber cables. This study investigates the use of interrogated Distributed Acoustic Sensing (iDAS) for integrated traffic operation and bridge infrastructure monitoring on the Varina-Enon Bridge. Fiber optic cables installed along the bridge ceiling were used to capture dynamic strain responses induced by passing vehicles and validated against seven collocated electrical resistance strain gauges. A 24-hour synchronized monitoring campaign was analyzed using correlation analysis and machine learning regression models. The results demonstrated strong agreement between DAS-derived signals and strain gauge measurements, with the peak-based DAS processing approach consistently outperforming RMS-based processing. The findings demonstrate the potential of iDAS as a scalable distributed sensing technology for continuous bridge monitoring and integrated traffic-structure response assessment. Future work will focus on integrating traffic flow fundamental diagram relationships and traffic state estimation methods to support intelligent transportation systems (ITS) applications and real-time infrastructure-aware traffic operations.