Topic: AI: Readiness, Risk, and Real-World Use in Transportation
Description:
As transit agencies navigate post-pandemic ridership shifts—marked by declining peak commuter patterns and growing all-day demand— alongside mounting fiscal pressures, traditional planning methods are struggling to keep pace, creating an urgent need to align limited service with real-world demand. This panel will explore how AI can support that effort through data-driven analysis: identifying systemwide ridership trends, distinguishing corridors with strong recovery from those with declining demand, and surfacing patterns across large datasets that human analysts may otherwise miss—while being clear that AI supports analysis, not decision-making.
Isidro Cortes-Reyes, HR Generalist, Keolis, LITLA Graduate 2025
AI_Capstone Whitepaper_Team of Viajeros_FINAL-1.pdf
[https://drive.google.com/file/d/1rgsbn6umWUfp7Jiv6s4ZCUA1XRkDPZvo/view?usp=drive_link](https://drive.google.com/file/d/1rgsbn6umWUfp7Jiv6s4ZCUA1XRkDPZvo/view?usp=drive_link)