
arXiv: 1407.3891
Interlocking tables are the functional specification defining the routes on which the passage of the train is allowed. Associated with the route, the states and actions of all related signalling equipment are also specified. It is well-known that designing and verifying the interlocking tables are labour intensive, tedious and prone to errors. To assist the verification process and detect errors rapidly, we formally model and analyse the interlocking tables using Coloured Petri Nets (CPNs). Although a large interlocking table can be easily modelled, analysing the model is rather difficult due to the state explosion problem and undesired safe deadlocks. The safe deadlocks are when no train collides but the train traffic cannot proceed any further. For ease of analysis we incorporate automatic route setting and automatic route cancelling functions into the model. These help reducing the number of the deadlocks. We also exploit the new features of CPN Tools; prioritized transitions; inhibitor arcs; and reset arcs. These help reducing the size of the state spaces. We also include a fail safe specification called flank protection into the interlocking model.
In Proceedings FSFMA 2014, arXiv:1407.1952
Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Electronic computers. Computer science, QA1-939, QA75.5-76.95, Mathematics
Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Electronic computers. Computer science, QA1-939, QA75.5-76.95, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
