Invited Panel Session: Challenges and Wins in Data-Driven Transit Asset Maintenance
⬱ Return to the Concurrent Session 4 Agenda
Moderator
Pedro Serigos, Cambridge Systematics
Agenda
- Intro to the Session (Including Mentimeter Questions): Pedro Serigos (Cambridge Systematics)
- MTA’s Development of EAM Analytics: Kayla Sadallah (NYMTA)
- Analytics-Based Maintenance in U.S. Transit Agencies, Experiences and Lessons Learned: Ister Morales (GFT)
- Line Segment Reliability: Steve Stark (Marine Tiger Technologies)
- Q&A and Session Closeout: Pedro Serigos & Panel)
Abstract
Transit agencies are exploring innovative ways to improve the reliability and cost-effectiveness of their asset maintenance programs. Yet, the journey toward data-driven strategies can be complicated by organizational constraints, data quality issues, and the need for staff buy-in. This panel will bring together experts representing transit agencies to share experiences and lessons learned in implementing analytics-based maintenance. Speakers will discuss diverse asset classes (e.g., subway infrastructure, bus fleets), highlight both their challenges and successful initiatives, and showcase outcomes. Audience participation is encouraged through interactive polls (e.g., Mentimeter) to gauge attendees’ perspectives and gather instant feedback.
Presentations
Challenges and Wins in Data-Driven Transit Asset Maintenance
Enhancing Transit Reliability Through Analytics-Based Maintenance