Research output

Publications

Peer-reviewed work, accepted manuscripts, and the projects behind them.

Lecture Notes in Production Engineering · Chapter 38

Developing a Digital Twin System for Predicting Usage of Istanbul Metro Lines Using Smart Card Data

Ahmet Yasin Erten · Ufuk Cebeci

Accepted Manuscript / Author Accepted Version

This version of the contribution has been accepted for publication, after peer review, but is not the Version of Record and does not reflect post-acceptance improvements or corrections. The Version of Record will be linked here once published by Springer Nature.

The chapter presents a deep-learning and MLOps approach for forecasting Istanbul metro usage within a digital twin system, developed at Istanbul Technical University and presented at COPERMAN 2025.

Book
Advances in Performance Management and Measurement for Industrial Applications and Emerging Domains
Publisher
Springer Nature Switzerland
Chapter DOI · pending
10.1007/978-3-032-26588-3_38
Book DOI · pending
10.1007/978-3-032-26588-3
Print ISBN
978-3-032-26587-6