This resource analyzes the differential impact of AI on roles within transportation, emphasizing that AI gains are most substantial when integrated into structured, defensible workflows rather than simple task substitution. It highlights a 'missing middle' layer of practitioners who redesign workflows to embed AI responsibly, improving quality, consistency, and reusability of outputs despite limited immediate time savings. Key recommendations include measuring beyond hours saved, focusing AI on recurring tasks with clear standards, maintaining explicit human review, and investing in workflow design and governance.

This resource presents an AI-based methodology for real-time identification of traffic signal performance anomalies using high-resolution connected vehicle probe data. It details a framework that establishes a baseline model from historical data, applies anomaly thresholds, validates traffic condition reliability, and uses AI to rank anomaly severity and cluster related events. A case study demonstrates detecting lane reduction and ramp closure impacts at an intersection, highlighting proactive applications for traffic signal operations management.

This resource introduces a Generative AI Policy Starter Kit designed for transportation organizations to manage the use of AI tools responsibly. It provides guidance on governance, secure use of AI, and practical considerations including copyright, intellectual property, and quality assurance. The kit aims to help transportation professionals implement policies that ensure accountability and maintain professional standards in AI-assisted work.

This resource reviews advanced transportation technologies at Technology Readiness Levels 6–9 across five domains: cyber-physical sensing, connected infrastructure and V2X communication, edge computing, big data analytics, and digital twins. It presents operational deployments with measurable safety benefits and identifies system-level barriers such as data fragmentation, interoperability, cybersecurity, and policy. The review also outlines key future research priorities to enhance scalable and equitable deployment of Industry 4.0 transportation safety technologies.