Future Train Control Systems: Challenges for Dependability Assessment
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 13704 LNCS, Page: 269-285
2022
- 3Citations
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
The prospected advent of advanced train control systems, such as moving block and virtual coupling, raises the issue of the effects that uncertainty on critical parameters (such as position or speed) can have on dependability. Several approaches to the evaluation of such effects have been proposed, typically based on a state-based formal modelling of the system behaviour. We present a survey of such proposals.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85142704731&origin=inward; http://dx.doi.org/10.1007/978-3-031-19762-8_21; https://link.springer.com/10.1007/978-3-031-19762-8_21; https://dx.doi.org/10.1007/978-3-031-19762-8_21; https://link.springer.com/chapter/10.1007/978-3-031-19762-8_21
Springer Science and Business Media LLC
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