Optimizing train dispatching for the Union Pacific Railroad
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866913757265920000 |
|---|---|
| author | Boccia, Maurizio Sasso, Veronica Dal Lamorgese, Leonardo Mannino, Carlo Ventura, Paolo |
| author_facet | Boccia, Maurizio Sasso, Veronica Dal Lamorgese, Leonardo Mannino, Carlo Ventura, Paolo |
| contents | Union Pacific (UP) is one of the largest transportation companies in the world, with over 50.000 kms of rail network covering 23 states in the United States. In 2017 Union Pacific embarked on a project that within 5 years would lead it to become the only rail operator in the world equipped with a technology capable of fully automating the real-time management and optimization of train traffic. In 2021 the main milestone of such project has been reached with the first deployment of the automated dispatching system we present here. To attack such large and complex problem, we decomposed it into distinct but interrelated functional components, and developed optimization models and methods to handle such components. The models communicate with each other through variables and constraints, and by a careful timing of invocations. In this paper we give an overview of the overall approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_19535 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optimizing train dispatching for the Union Pacific Railroad Boccia, Maurizio Sasso, Veronica Dal Lamorgese, Leonardo Mannino, Carlo Ventura, Paolo Optimization and Control Union Pacific (UP) is one of the largest transportation companies in the world, with over 50.000 kms of rail network covering 23 states in the United States. In 2017 Union Pacific embarked on a project that within 5 years would lead it to become the only rail operator in the world equipped with a technology capable of fully automating the real-time management and optimization of train traffic. In 2021 the main milestone of such project has been reached with the first deployment of the automated dispatching system we present here. To attack such large and complex problem, we decomposed it into distinct but interrelated functional components, and developed optimization models and methods to handle such components. The models communicate with each other through variables and constraints, and by a careful timing of invocations. In this paper we give an overview of the overall approach. |
| title | Optimizing train dispatching for the Union Pacific Railroad |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2503.19535 |