Towards Safer Freight Shunting: Integrating MILP and ML Classification Models in a Risk Management Framework

BIGI, Federico; BOSI, Tommaso; D'Ariano, Andrea; VITI, Francesco

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Towards Safer Freight Shunting: Integrating MILP and ML Classification Models in a Risk Management Framework

BIGI, Federico; BOSI, Tommaso; D'Ariano, Andrea et al.

2024 • In AIRO Springer Series

Peer reviewed

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https://hdl.handle.net/10993/63837

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Keywords :

Rail Freight Operations; Shunting Operations; Risk Management; Machine Learning; Mixed-Integer Linear Programming; Datadriven modeling

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

BIGI, Federico ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

BOSI, Tommaso ; University of Luxembourg

D'Ariano, Andrea

VITI, Francesco ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

External co-authors :

yes

Language :

English

Title :

Towards Safer Freight Shunting: Integrating MILP and ML Classification Models in a Risk Management Framework

Publication date :

September 2024

Event name :

International Conference on Optimization and Decision Science (ODS2024)

Event organizer :

Italian Operations Research Society

Event place :

Badesi, Italy

Event date :

8th - September 12th - 2024

Audience :

International

Main work title :

AIRO Springer Series

Publisher :

Springer

Peer reviewed :

Peer reviewed

Focus Area :

Computational Sciences

Development Goals :

9. Industry, innovation and infrastructure

FnR Project :

FNR14767177 - Anticipatory Train Optimization With Intelligent Management, 2020 (01/01/2021-31/12/2023) - Francesco Viti

Name of the research project :

R-AGR-3881 - BRIDGES 2020/14767177-ANTOINE/CFL Cont - VITI Francesco

Funders :

FNR - Fonds National de la Recherche

Funding number :

14767177

Available on ORBilu :

since 29 January 2025

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