As our infrastructure continues to age, the need for advanced bridge deterioration modeling becomes increasingly critical. Many bridges in the United States and around the world are reaching or have surpassed their intended lifespans. This places them at a higher risk of failure, which could result in catastrophic consequences including loss of life, economic disruptions, and significant repair costs. Traditional methods of bridge inspection and maintenance are no longer sufficient to ensure safety. These methods often rely on periodic visual inspections, which can miss early signs of deterioration. Advanced deterioration modeling, on the other hand, uses sophisticated algorithms and data analytics to predict potential failures before they occur. This proactive approach allows for timely interventions, thus preventing disasters and extending the life of the infrastructure.