INFORMS Railway Application Sections presents the 2022 Problem Solving Competition

Registration Deadline: July 1, 2022

The INFORMS Railway Applications Section, the largest group of railway focused data and decision sciences professionals and researchers, is pleased to announce the 2022 Problem Solving Competition.

This year the competition is for “Designing real-time traffic management for an urban rail transit system – London’s new Elizabeth line, UK”. Details can be found at

Practitioners (including students) of operations research and advanced analytics who are interested in solving problems in the railroad domain are welcome to participate.

Participation in the RAS Problem Solving Competition requires registration by 1-July-2022. Every team must register by the due date to participate in the contest. To register, please send the following information to by the deadline.

✓ For each team member: Name, Email, Organization, Position.
✓ Brief statement describing what motivated you to participate.

After submitting your registration email, you will receive an email confirming your team’s successful registration and eligibility, and you will be added to the competition’s channel in Slack.

INFORMS advances and promotes the science and technology of decision-making to save lives, save money and solve problems. As the largest association for the decision and data sciences, INFORMS members support organizations and governments at all levels as they work to transform data into information, and information into insights that lead to more efficient, effective, equitable and impactful results. INFORMS’ 10,000+ members are comprised of a diverse and robust international community of practitioners, researchers, educators and
students from a variety of fields.

About INFORMS Railway Applications Section
The Railway Application Section is a forum to bring together practitioners, consultants, and academics interested in applying operations research and management science (OR and MS) techniques to the railway industry. We proudly acknowledge our sponsors:

Contact Information:
Nicola Coviello, Trenolab, Marc Meketon, Oliver Wyman