AI4RAILS2024

Welcome to AI4RAILS 2024

The 5th International Workshop on “Artificial Intelligence for RAILwayS”

co-located with the International Conference on Optimization and Decision Science – ODS2024

September 8th-9th (provisional), 2024, Badesi, Sardinia, Italy

The impact of Artificial Intelligence (AI) on the industry has been so disruptive that it gave rise to a new wave of research and applications. Several industries, mainly in logistics and manufacturing, have benefited significantly from AI adoption and this positive trend is planned to be kept in the future. Modern and future railways represent one of the fields in which AI is expected to have a significant impact in a medium to long term perspective, to get higher levels of automation. Despite this opening for unprecedented scenarios in railway systems, it also raises concerns regarding system dependability and new threats associated with a high level of autonomy.

Therefore, the first step towards the adoption of AI in the railway sector is understanding to what extent AI can be considered reliable, safe and secure. In such a context, building upon the  RAILS project (Roadmaps for A.I. Integration in the Rail Sector, funded by Shift2Rail) the annual AI4RAILS workshop series are organized with the aim to provide annually a forum for researchers, practitioners and business leaders to discuss and share new perspectives, ideas, technologies and solutions for effective and dependable integration of AI techniques in rail-based transport systems.

The program includes:

  • Keynote speaker’s talk
  • Technical presentation sessions: detailed program will be announced later.

Keynote talk

Hybrid OR-AI algorithms for Railway Traffic Management

Speaker: Prof Paola Pellegrini, Université Gustave Eiffel

Abstract: 

Real-time railway traffic management is a challenging task that is mostly carried out manually today. Several models have been proposed in the literature, and OR techniques have been used for optimizing this task. A promising research direction consists in exploiting AI techniques in combination to OR ones for optimizing traffic. This talk will present three different approaches for hybridizing AI and OR for railway traffic management optimization. First, an Ant Colony Optimization-MILP algorithm will show how we can reduce the search space of instances to promising regions, and achieve their effective exploration. Second, a Graph Convolutional Network-MILP algorithm will allow optimizing traffic considering passenger demand prediction. Third, a consensus-MILP algorithm will make self-organizing traffic an actual option for the railway system. Some unexplored research directions on hybrid AI-OR approaches for railway traffic management will be sketched to conclude the talk.

Bio:

Prof Paola Pellegrini is an expert in railway planning and operational management. Her research focuses on the development of optimization approaches to effectively exploit railway infrastructure capacity, aiming to the automation of the involved processes. Paola has participated in a number of national and international research projects, and she regularly collaborates with various SMEs to facilitate the knowledge transfers from academia to practice. She is a member of the Board of the International Association of Railway Operations Research (IAROR).

Themes and Goals

AI4RAILS workshop is addressing topics related to the adoption of artificial intelligence technologies in railway transport. AI4RAILS is set to showcase AI opportunities over the holistic railway system including traffic planning and management, passenger mobility, predictive maintenance, autonomous driving, transport safety and policy, and including mainline and high-speed railways, metro, tram, and hyperloop. We welcome various applications of AI including machine learning, neural networks and reinforcement learning, evolutionary algorithms, computer vision and knowledge-based approaches in railway transport for both freight and passenger transport. Also, both pure AI models as well as hybrid models combining AI and optimization are foreseen.

Topics of interest include, but are not limited to:

  • AI for rail traffic state predictions
  • AI for train timetabling, rolling stock and crew scheduling
  • Self-organising, decentralised and conventional real-time rail traffic and disruption management
  • Railway predictive maintenance and defect detection and prediction
  • Predicting passenger demand and flows
  • Data analytics for railway transport
  • Using AI for improving optimization models for planning and management
  • Using optimization for improving machine learning models
  • Novel problems enabled by AI techniques
  • Autonomous and cooperative driving, including virtual coupling
  • Cognitive Digital Twins for Railways
  • Explainable and trustworthy AI in railway applications
  • Transferability to railways of AI approaches from other sectors (e.g., aviation, road, etc.)
  • Datasets and real-world case studies

Important Dates

February 1, 2024 Opening of submissions of short papers and abstracts
February 24, 2024

February 29, 2024 (extended)

  Deadline for short paper and abstract submission
March 15, 2024 Abstract acceptance notification
March 15, 2024 Short paper acceptance notification
March 24, 2024   Deadline for camera-ready papers
March 24, 2024   Deadline for early registration
March 31, 2024   Deadline for the payment of the deposit at the discounted rates to the resort Le Dune (25% of the total amount due is requested). After this date, available rooms can be booked at higher rates by mail to meeting@delphina.it by the same deposit.
June 30, 2024   Registration deadline for inclusion in the final program and deadline for payment of the balance to the resort “Le Dune”  
September 8-9, 2024 Workshop

Short paper / abstract submission

All researchers, academics, practitioners, and students working on the conference themes are invited to participate to ODS2024/AI4RAILS2024 submitting either a short paper (8-10 pages, including front matter and references) or an abstract (max 2000 characters, space included). Please use the official Word template provided by the conference: http://www.airoconference.it/ods2024/submissions

Please email your abstract directly to our AI4RAILS official email address: rails.project.eu@gmail.com

Workshop Organizers

Workshop Program Committee

  • Valentina Cacchiani, University of Bologna, Italy
  • Lorenzo De Donato, Unversity of Naples Federico II, Italy
  • Francesco Flammini, Mälardalen University & Linnaeus University, Sweden
  • Rob Goverde, TU Delft Transport Institute, Netherlands
  • Bisheng He, Southwest Jiaotong University , China
  • Ronghui Liu, University of Leeds, United Kingdom
  • Zhenliang Ma, Royal Institute of Technology (KTH), Sweden
  • Stefano Marrone, University of Naples Federico II, Italy
  • Roberto Nardone, University of Naples “Parthenope”, Italy
  • Paola Pellegrini, Gustav Eiffel University, France
  • Felipe Rodrigues, Technical University of Denmark
  • Stefania Santini, University of Naples Federico II, Italy
  • Valeria Vittorini, University of Naples Federico II, Italy
  • Pengling Wang, Tongji University, China
  • Jiateng Yin, Beijing Jiaotong University, China
  • Shuguang Zhan, Hefei University of Technology, China
  • Yongqiu Zhu, TU Delft Transport Institute, Netherlands

Contact

For all questions related to the workshop, contact the organizers via email.

 

AI4RAILS 2023

Welcome to AI4RAILS 2023

The 4th International Workshop on “Artificial Intelligence for RAILwayS”

co-located with the International Conference on Optimization and Decision Science – ODS2023

September 4th, 2023

Ischia, Italy

The impact of Artificial Intelligence (AI) on the industry has been so disruptive that it gave rise to a new wave of research and applications. Several industries, mainly in logistics and manufacturing, have benefited significantly from AI adoption and this positive trend is planned to be kept in the future. Modern and future railways represent one of the fields in which AI is expected to have a significant impact in a medium to long term perspective, to get higher levels of automation. Despite this opening for unprecedented scenarios in railway systems, it also raises concerns regarding system dependability and new threats associated with a high level of autonomy.

Therefore, the first step towards the adoption of AI in the railway sector is understanding to what extent AI can be considered reliable, safe and secure. In such a context, building upon the ongoing RAILS project (Roadmaps for A.I. Integration in the Rail Sector, funded by Shift2Rail) in 2019 the AI4RAILS workshop series has been started with the aim to provide annually a forum for researchers, practitioners and business leaders to discuss and share new perspectives, ideas, technologies and solutions for effective and dependable integration of AI techniques in rail-based transport systems.

The program includes:

  • Keynote speaker: Prof Mathijs de Weerdt, TU Delft.
  • Technical presentation sessions: detailed program will be announced later.

The AI4RAILS workshop is supported by the AIRO stream “OPTSM Optimization in Public Transport and Shared Mobility”.

Keynote talk

Hybrid algorithms for train shunting and servicing at railway hubs

Prof Mathijs de Weerdt, TU Delft

Abstract: To support trains executing the railway timetable, they need to be cleaned, undergo security checks, and be parked in an order that matches their departures according to the timetable. When shunting yards are nearing their capacity, deciding on the order of these activities becomes so computationally challenging that state-of-the-art mixed-integer linear programming solvers fail to produce solutions for average-sized railway hubs. In this talk a number of alternative models and algorithms are explored to address this computational challenge, inspired from successes with for example search algorithms, decision diagrams, multi-agent path planning, and pebble motion. Underlying this is a more general lesson about what to include in a model, what to decide upon later, and how to make such modeling decisions.

Bio: Mathijs de Weerdt is full professor on Algorithms for Planning and Scheduling and section head of the Algorithmics Group at Delft University of Technology. His main aim is to develop new algorithmic techniques that cope with challenges prohibiting successful use of algorithmic and artificial intelligence planning and optimization techniques in practice. He mainly works on such algorithmic challenges related to the energy transition and railway transportation.

 

Themes and Goals

AI4RAILS workshop is addressing topics related to the adoption of artificial intelligence technologies in railway transport. AI4RAILS is set to showcase AI opportunities over the holistic railway system including traffic planning and management, passenger mobility, predictive maintenance, autonomous driving, transport safety and policy, and including mainline and high-speed railways, metro, tram, and hyperloop. We welcome various applications of AI including machine learning, neural networks and reinforcement learning, evolutionary algorithms, computer vision and knowledge-based approaches in railway transport for both freight and passenger transport. Also, both pure AI models as well as hybrid models combining AI and optimization are foreseen.

Topics of interest include, but are not limited to:

  • AI for rail traffic state predictions
  • AI for train timetabling, rolling stock and crew scheduling
  • Self-organising, decentralised and conventional real-time rail traffic and disruption management
  • Railway predictive maintenance and defect detection and prediction
  • Predicting passenger demand and flows
  • Data analytics for railway transport
  • Using AI for improving optimization models for planning and management
  • Using optimization for improving machine learning models
  • Novel problems enabled by AI techniques
  • Autonomous and cooperative driving, including virtual coupling
  • Cognitive Digital Twins for Railways
  • Explainable and trustworthy AI in railway applications
  • Transferability to railways of AI approaches from other sectors (e.g., aviation, road, etc.)
  • Datasets and real-world case studies

 

Important Dates

January 30, 2023 Submission of abstract opens
March 31, 2023 Early registration opens
May 18, 2023 (extended) 23:59 BST Deadline for abstract submission (max 2000 characters, space included)
May 27, 2023 Abstract acceptance notification
May 31, 2023 Deadline for early registration
June 15, 2023 Deadline for camera-ready abstract

Abstract submission

All researchers, academics, practitioners, and students working on the conference themes are invited to participate to ODS2023/AI4RAILS submitting an abstract (max 2000 characters, space included). Please use the official Word template provided by the conference: http://www.airoconference.it/ods2023/call-for-papers

Please email your abstract directly to our AI4RAILS official email address: rails.project.eu@gmail.com

Special Issues

After the conference, regular papers can be submitted for publication in special issues of indexed international journals. Information will be provided in the subsequent announcements and on the website.

Workshop Organizers

Workshop Program Committee

  • Paola Pellegrini, Gustav Eiffel University, France
  • Ronghui Liu, University of Leeds, United Kingdom
  • Rob Goverde, TU Delft Transport Institute, Netherlands
  • Valeria Vittorini, University of Naples Federico II, Italy
  • Francesco Flammini, Mälardalen University & Linnaeus University, Sweden
  • Lorenzo De Donato, Unversity of Naples Federico II, Italy
  • Stefano Marrone, University of Naples Federico II, Italy
  • Roberto Nardone, University of Naples “Parthenope”, Italy
  • Stefania Santini, University of Naples Federico II, Italy
  • Ruifan Tang, University of Leeds, United Kingdom
  • Jin Liu, University of Leeds, United Kingdom
  • Zhenliang Ma, Royal Institute of Technology (KTH), Sweden
  • Felipe Rodrigues, Technical University of Denmark

Contact

For all questions related to the workshop, contact the organizers via email.