2020
Conference article  Open Access

Strategy Synthesis for Autonomous Driving in a Moving Block Railway System with Uppaal Stratego

Basile D., Ter Beek M. H., Legay A.

synthesis  [INFO]Computer Science [cs]  controller  Uppaal Stratego  moving block  [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]  Article  railway  Security  timed game  autonomous driving 

Moving block railway systems are the next generation signalling systems currently under development as part of the Shift2Rail European initiative, including autonomous driving technologies. In this paper, we model a suitable abstraction of a moving block signalling system with autonomous driving as a stochastic priced timed game. We then synthesise safe and optimal driving strategies for the model by applying advanced techniques that combine statistical model checking with reinforcement learning as provided by Uppaal Stratego. Hence, we show the applicability of Uppaal Stratego in this concrete case study.

Source: 40th IFIP WG 6.1 International Conference on FORmal TEchniques for Distributed Objects, Components, and Systems (FORTE'20), pp. 3–21, Valletta, Malta, 15-19/06/2020


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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:423824,
	title = {Strategy Synthesis for Autonomous Driving in a Moving Block Railway System with Uppaal Stratego},
	author = {Basile D. and Ter Beek M. H. and Legay A.},
	doi = {10.1007/978-3-030-50086-3_1},
	booktitle = {40th IFIP WG 6.1 International Conference on FORmal TEchniques for Distributed Objects, Components, and Systems (FORTE'20), pp. 3–21, Valletta, Malta, 15-19/06/2020},
	year = {2020}
}

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