Deliverables

WP1 – Taxonomy and state-of-the-art

Deliverable 1.1 – Definition of a reference taxonomy of AI in railways:

RAILS_D1.1

Deliverable 1.2 – Summary of existing relevant projects and state-of-the-art of AI applications in railways:

RAILS_D1.2

Deliverable 1.3 – Application Areas:

RAILS_D1.3

WP2 – Artificial intelligence for rail safety and automation

Deliverable 2.1 – WP2 Report on case studies and analysis of transferability from other sectors (safety and automation):

RAILS_D2.1

Deliverable D 2.2 – WP2 Report on AI approaches and models:

RAILS_D2_2

Deliverable D 2.3 – WP2 Report on experimentation, analysis, and discussion of results:

RAILS D2.3

Deliverable D 2.4 – WP2 Report on identification of future innovation needs and
recommendations for improvements:

RAILS D2.4

WP3 – Artificial intelligence for predictive maintenance and defect detection

Deliverable 3.1 – WP3 Report on case studies and analysis of transferability from other sectors (predictive maintenance and defect detection):

RAILS_D3.1

Deliverable D 3.2 – WP2 Report on AI approaches and models:

RAILS_D3.2

Deliverable D 3.3 – WP3 Report on experimentation, analysis, and discussion of results:

RAILS D3.3

Deliverable D 3.4 – WP3 Report on identification of future innovation needs and
recommendations for improvements:

RAILS D3.4

WP4 – Artificial intelligence for traffic planning and management

Deliverable 4.1 – WP4 Report on case studies and analysis of transferability from other sectors (traffic planning and management):

RAILS_D4.1

Deliverable D 4.2 – WP2 Report on AI approaches and models:

RAILS_D4.2

Deliverable D 4.3 – WP4 Report on experimentation, analysis, and discussion of results:

RAILS D4.3

Deliverable D 4.4 – WP4 Report on identification of future innovation needs and
recommendations for improvements:

RAILS D4.4

WP5 – Dissemination and Future Roadmaps

Deliverable D 5.3 –Report on identification of migration strategies and
roadmaps for AI integration in the rail sector:

RAILS D5.3

 

Disclaimer

The deliverables might be undergoing S2R JU review and acceptance processes. They reflect only the authors’ views and the S2R JU is not responsible for any use that may be made of the information they contain.

The information in these documents is provided “as is”, and no guarantee or warranty is given that the information is fit for any particular purpose.

The users use the information at their sole risk and liability.