Slides from our RAILS Mid-term Workshop

Slides from our RAILS Mid-term Workshop (25 February 2022) are now available on our website:

Invited speakers:

“New steps forward in railways smart maintenance”: In2Smart2

“Electrical and electronic applications for railways”: Cenelec_TC_9X_SG34

“Validate AI Based Perception”: Validate_AI_Based_Perception

“The need for standard XAI — Explainable Artificial Intelligence”: ExplainableAI

RAILS:

Bird’s eye view: RAILS_MT

WP1: RAILS_MT_WP1

WP2: RAILS_MT_WP2

WP3: RAILS_MT_WP3

WP4: RAILS_MT_WP4

RAILS Mid-term Project Workshop (online)

The RAILS mid-term workshop will be held online (MS Teams) on 25th February 2022.

The main objectives of the workshop are:

  • to present the results of the analysis phase;
  • to introduce the next steps and the pilot case studies identified so far;
  • to discuss the safe integration of AI in autonomous driving, predictive maintenance, and traffic management.

Talks from RAILS researchers and invited speakers are planned for the morning.
A panel of experts will be held early in the afternoon to discuss aspects related to the development of roadmaps for the integration of data-driven and AI techniques in the rail sector.

The draft program of the workshop is now available here!

To attend the workshop, please register here.

 

RAILS will attend several conferences

Members of RAILS will attend several conferences presenting output of the project in 2021.

– RAILS at 2021 INFORM Annual Meeting

(https://meetings2.informs.org/wordpress/anaheim2021/)

 

– RAILS at IsoLa 2021, DisCoRail Session

(http://isola-conference.org/isola2021/)

 

– RAILS at INNORAIL 2021

(https://innorail2021.hu/en/)

Lorenzo DE DONATO PhD Student in Computer Engineering, RAILS Ambassador, University of Naples Federico II, Italy: Roadmaps for the Integration of Artificial Intelligence in Railways

 

– RAILS at SmartRail Europe 2021

(https://www.smartrailcongress.com/)

Suicide prevention strategies & effective track detection technologies

RAILS Technical Manager

Wed 24, Nov 3:00 pm3:20 pm

During this session we examine the links between fatalities and factors such as homelessness and lifestyles and the strategies and technologies being used to effectively reduce occurrences in what is a difficult but important issue to address. We will also consider new developments in track detection technologies to prevent trespassing incidents.

Challenges and State-of-Practice Survey of Artificial Intelligence in Railways

(Original webpage: https://docs.google.com/forms/d/e/1FAIpQLSeUNBU3VUCBXzaM5O3sqM4kpMM8GgwPTs7wpU_zXkmecOTO3g/viewform)

This survey aims at obtaining a deeper understanding of the Challenges and State-of-Practice (SoP) of Artificial Intelligence (AI) in railway transportation from the perspective of diverse stakeholders. Results are collected in the context of the H2020 Shift2Rail project RAILS (Roadmaps for A.I. integration in the raiL Sector), to understand priorities and requirements when defining the roadmaps for AI integration in the rail sector.

The survey is distributed to Shift2Rail members, project partners and other project participants, as well as to other railway organizations and regulatory bodies. Aggregated and anonymous results will be disseminated primarily through the project website https://rails-project.eu/.

You are welcome to add customized answers by using the text box “Other”.

We would like to thank you in advance for the time you will invest in filling this survey!

IMPORTANT NOTE:
Please note that at the end of the questionnaire you can decide whether to share your personal data with the project team and if you are available to be contacted, otherwise you can remain fully anonymous.
Please note that even if you agree to be contacted, we will not share your name and affiliation with anyone except the project team. Only aggregated and anonymous results of the survey will be publicly disclosed.

If you encounter any problems, need clarifications, or want to report your feedback on the questionnaire, please contact:
Prof. Valeria Vittorini (project leader): valeria.vittorini@unina.it
Prof. Francesco Flammini (technical leader): francesco.flammini@lnu.se

THE SURVEY WILL CLOSE ON 31st MAY 2021!

First Advisory Board Meeting

We successfully ran the first Advisory Board Meeting on 1st March 2021 online. We would like to thank all AB members who participated in this meeting and for their valuable contributions! We saw many interesting presentations there and would like to keep this momentum in the future.

AB memebers to joined the meeting:

  • Aitex (IT)
  • Comesvil (IT)
  • European Union Agency for Railways – ERA (EU)
  • Hitachi Rail STS (IT)
  • Netherlands Railways (NL)
  • NextTechnologies Ltd. (HU)
  • ProRAIL (NL)
  • SYENMAINT (IT)

Second AI4RAILS Workshop

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/