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Boston, MA

September 1–3, 2026

  • principles course

    Principles Course

    September 1, 2026

  • rail transit seminar

    Rail Transit Seminar

    September 2-3, 2026

WRI 2026 InfoZone

InfoZone Icon

The InfoZone is an interactive learning environment that is designed to augment the information presented at the annual Rail Transit Seminar.

Our InfoZone partners offer high-quality technical information on the aspects of wheel/rail interaction that they know best. These sessions, which are built into the Rail Transit Seminar program, are designed to provide small groups of approximately 30 delegates insight into the product or service that is the specialty of the presenting company. The goal is to promote a better understanding of the dynamic interaction between vehicles and track. This innovative concept has consistently received great reviews from participants and InfoZone Partners alike.

Waynova logoLoram logo
ENSCO logoHolland logo
Plasser American logo

Review the InfoZone Abstracts

ENSCO

Transit agencies today are being asked to do more with less while facing workforce shortages, limited track access, aging infrastructure, and increasing pressure to maintain assets in a State of Good Repair. Traditional inspection and maintenance practices built around manual inspections and periodic measurements can no longer fully meet the demands of modern rail transit systems. As a result, the industry has steadily evolved toward automated inspection, machine vision, wayside monitoring, and advanced analytics to improve safety, reliability, and maintenance effectiveness.

This session will explore how integrating track inspection, vehicle dynamics, wheel condition, and wayside monitoring data can provide a more complete understanding of wheel-rail interaction and asset condition. Attendees will learn how modern inspection technologies, automation, and emerging decision-support capabilities are helping agencies identify issues earlier, prioritize maintenance activities, reduce the need for field inspections, and move toward more intelligent, condition-based asset management.