conference

AI4RAILS 2023

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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.

 

AI4RAILS 2022

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Welcome to AI4RAILS 2022

3rd International Workshop on “Artificial Intelligence for RAILwayS”

colocated with EDCC 2022

September 12, 2022

Zaragoza, Spain

*** The program is now available here ***

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 Shift2Rail project RAILS (Roadmaps for the AI integration in the raiL Sector), 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 transportation systems.

Themes and Goals

AI4RAILS 2022 is the 3rd workshop in the series, designed to gather the best idea, comments and experiences related to the adoption of AI in railways. The series is supported by an ongoing Shift2Rail project, named RAILS (Roadmaps for the AI integration in the raiL Sector), and represents an open forum for researchers working on these themes. In fact, the Advisory Board of the RAILS project will be invited since it includes railway stakeholders and companies operating in both the AI and railway market as well as the entire set of companies and research centres of the Shift2Rail community.

The themes of the workshop are relevant for the EDCC community and consistent with its aims and scope. The railway domain represents a critical domain in which all the aspects of dependability and security should be continuously addressed as a consequence of technical and technological progress. In the context of AI adoption, current literature includes different attempts of adopting AI techniques for increasing the automation level and the overall dependability of railways. AI4RAILS represents a unique forum for researchers, practitioners and business leaders to present and discuss their latest research results on theory, approaches and tools for the design, validation, operation and evaluation of dependable and secure railways by means of AI techniques.

Topics of interest include, but are not limited to:

  • AI for railway safety, availability, reliability and security

  • Transferability to railways of AI approaches from other sectors (e.g., avionics, automotive, etc.)

  • Autonomous and cooperative driving, including virtual coupling

  • Automatic detection of signals, pedestrians and obstacles

  • Predictive maintenance and defect detection

  • AI for traffic planning and management

  • Adversarial perturbations to AI with a focus on railway case-studies

  • Cognitive Digital Twins for Railways

  • Resource allocation with a focus on railway case-studies

  • Run-time model checking and AI with a focus on railway case-studies

  • Explainable and trustworthy AI in railway applications

  • Safe autonomy standards and railway certification of compliance

  • Datasets and real-world case studies

Important Dates

Paper submission deadline: June 20th, 2022 (EXTENDED)

Author notification: July 2nd, 2022 (EXTENDED)

Camera-ready paper due: July 9th, 2022 (EXTENDED)

Paper submission

Submitted papers must be unpublished and not considered elsewhere for publication. Submissions will undergo a rigorous review process handled by the Technical Program Committee. Papers will be selected based on their originality, significance, relevance, and clarity of presentation. Only electronic submissions in PDF format through the submission site (https://easychair.org/my/conference?conf=ai4rails2022) will be considered.

The AI4RAILS proceedings will be published by Springer in the series Communications in Computer and Information Science (CCIS).

Papers must be in English, up to 12 pages in Springer format, including references and appendices. Information for authors, LaTeX and Microsoft Word templates, as well as formatting guidelines, can be found here.

Submitting authors are requested to note that the publication of the paper in the proceedings will be subject to attending the conference and presenting in person (unless the pandemic situation does not allow it) and register their attendance upon submitting the camera ready version.

Workshop Steering Committee

Workshop Chairs & Organizers

Program Committee Members

  • Nikola Bešinović, Delft University of Technology, Netherlands

  • Lorenzo De Donato, Unversity of Naples Federico II, Italy

  • Francesco Flammini, Mälardalen University & Linnaeus University, Sweden

  • Rob Goverde, TU Delft Transport Institute, Netherlands

  • Ronghui Liu, University of Leeds, United Kingdom

  • Fredrik Heintz, Linköping University, Sweden

  • Leonardo Impagliazzo, Hitachi Rail STS, Italy

  • Zhiyuan Lin, University of Leeds, UK

  • Stefano Marrone, University of Naples Federico II, Italy

  • Claudio Mazzariello, Hitachi Rail STS, Italy

  • Roberto Nardone, University of Naples “Parthenope”, Italy

  • Alberto Petrillo, University of Naples Federico II, Italy

  • Danijela Ristic-Durrant, University of Bremen, Germany

  • Carlo Sansone, University of Naples Federico II, Italy

  • Stefania Santini, University of Naples Federico II, Italy

  • Valeria Vittorini, University of Naples Federico II, Italy

Second AI4RAILS Workshop

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The 2nd International Workshop on “Artificial Intelligence for RAILwayS”(AI4RAILS)

co-located with EURO 2021

11-14 July, 2021

Athens, Greece

The impact of Artificial Intelligence (AI) techniques on 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, in order to get higher levels of automation of railway processes. On the one hand, this opens for unprecedented scenarios for railway systems, and on the other hand, 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 effective, reliable, safe and secure. In such a context, building upon the ongoing Shift2Rail project RAILS (Roadmaps for the AI integration in the raiL Sector), the aim of AI4RAILS is to provide a forum for researchers and practitioners to discuss and share new perspectives, ideas, technologies and solutions for an effective and dependable integration of AI techniques in rail-based transport systems.

More details can be found at: https://rails-project.eu/ai4rails/

We organize a session at the 2020 INFORMS Annual Meeting

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We organize a session Machine Learning in railroad transportation at the 2020 INFORMS Annual Meeting in Washington, USA (http://meetings2.informs.org/wordpress/nationalharbor2020/). Some of the topics interesting for the session are scheduling, traffic and mobility predictions, maintenance. If you wish to present your research, please contact Nikola Besinovic (n.besinovic@tudelft.nl).

The submission includes a short abstract (100 words). The deadline for submitting abstracts is 1 June.

In addition, the complete overview of railway sessions is here: https://connect.informs.org/railway-applications/new-item2/new-item