Artificial Intelligence for RAILwayS
AI4RAILS 2020
- URL: https://sites.google.com/view/ai4rails
- Event Date: 2020-09-07 ~ 2020-09-07
- Submission Date: 2020-06-07
- Location: Munich, Germany
1st International Workshop on “Artificial Intelligence for RAILwayS”
colocated with the 16th European Dependable Computing Conference (EDCC2020)
AI4RAILS 2020 has moved from physical mode 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!
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. Future railways represent one field in which AI is expected to have a significant impact in a medium to long term perspective especially in terms of autonomous and cooperative driving, predictive maintenance and traffic management optimization. This opens for unprecedented scenarios for railway systems but 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.
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.
Website
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 7, 2020 (extended)
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
colocated with the 16th European Dependable Computing Conference (EDCC2020)
AI4RAILS 2020 has moved from physical mode 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!
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. Future railways represent one field in which AI is expected to have a significant impact in a medium to long term perspective especially in terms of autonomous and cooperative driving, predictive maintenance and traffic management optimization. This opens for unprecedented scenarios for railway systems but 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.
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.
Website
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 7, 2020 (extended)
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
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
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| Wind and Structures, An International Journal (Wind and Structures) |
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