How Transportation Agencies Can Leverage the AI Revolution

Jeff Siegel and Craig Bettmann of HNTB Corporation examine how Artificial Intelligence (AI) is transforming the transportation industry by enhancing problem-solving capabilities through the integration of computing power, vast datasets, and human oversight. This revolution is characterized by the deployment of AI in various innovative ways, leading to significant improvements in data analysis efficiency, insights generation, and future outcome predictions.

The practical application of AI tools, including intelligent signaling for traffic control, image recognition for tolling, and monitoring devices for asset and traffic flow management, is already making a tangible impact on agency operations. These advancements are facilitating a better understanding and monitoring of infrastructure and traffic conditions by analyzing extensive data from various sources.

AI's significance is underscored by the opportunity presented by the Bipartisan Infrastructure Law (BIL), which enables transportation agencies to enhance operations and project efficiency through AI-driven automation and improved workflows. As the transportation landscape evolves, AI not only offers predictive insights and simulation capabilities for better planning but also necessitates robust data management strategies to maximize its potential in making transportation systems more efficient, safe, and sustainable.