(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!

Intelligenza artificiale, realtà aumentata e Internet of Things al servizio dell’ambiente costruito

We are pleased to have the following keynote speakers for AI4RAILS 2020:

• Giorgio Travaini, Head of Research & Innovation at Shift2Rail Joint Undertaking
• Jens Braband, Siemens Mobility GmbH

Registration is free of charge for all participants:

https://eveeno.com/edcc-2020

The EU Agency for Railways (https://www.era.europa.eu/) has joined the RAILS Advisory Board.

AI4RAILS – Call for Papers

1st International Workshop on Artificial Intelligence for RAILwayS
co-located with the 16th European Dependable Computing Conference (EDCC2020)
September 7, 2020

AI4RAILS 2020 has moved to digital mode due to pandemic COVID-19.

IMPORTANT NOTICE: Since the workshop will not be held in-site there
will be no registration fees!

Website: https://sites.google.com/view/ai4rails

The International Workshop on ?Artificial Intelligence for RAILwayS?
(AI4RAILS) is the first workshop specifically addressing topics
related to the adoption of Artificial Intelligence technologies in
railway applications. Supported by the Shift2Rail project RAILS,
AI4RAILS 2020 is the first of a series of workshops intended as a
reference forum for international researchers and industry
practitioners providing their novel ideas, results and experiences on
smart-railways in the general context of intelligent transportation
systems.

The aim of the 1st AI4RAILS workshop is to provide 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.

More information, submission guidelines and contacts are available at
the workshop website.

***Topics***
AI4RAILS invites researchers, practitioners and business leaders to
present and discuss their latest research results on theory,
approaches and tools for design, development, operation and
maintenance of smart-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 train driving, including virtual coupling
– Automatic detection of railway signals and obstacles
– Railway predictive maintenance and defect detection
– AI for rail traffic planning and management
– Adversarial perturbations to AI with a focus on railway case-studies
– 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
– Railway datasets and real-world case studies

***Submission and Publication***
AI4RAILS 2020 invites original paper not submitted elsewhere,
presenting original contribution. Papers must be in English, up to 12
pages in Springer format, including references and appendices. Paper
submission instructions and publication details are available on the
workshop website.

The AI4RAILS proceedings will be published to Springer Communications
in Computer and Information Science (CCIS).
Distinguished papers will be invited to submit an extended version in
a dedicated Special Issue on high ranked journals.

***Important Dates***
Regular paper submission:  June 1, 2020
Authors notification: June 29, 2020
Camera-ready paper due: July 10, 2020

***Workshop Chairs***
Valeria Vittorini, University of Naples Federico II, Italy
Francesco Flammini, Mälardalen University & Linnaeus University, Sweden
Roberto Nardone, University Mediterranea of Reggio Calabria, Italy
Stefano Marrone, University of Naples Federico II, Italy