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Probabilistic Safety Analysis of High Speed and Conventional Railway Lines
2.1.5 Sub-Bayesian networks
2.1.5.1 Light signal
In this example a light signal composed of three warning signals, an advanced signal and an
entry signal is modeled showing the associated influential variables (see Figure 4):
• Driver’s attention state • Driver’s decision
• Speed • Technical failure
• Accidents • Supervisor
• Rolling stock • Signal state
• Terrain and infrastructure failures • Driver’s tiredness
Figure 4 Illustration of the sub-Bayesian networks associated with warning and light signs showing the corresponding variables
and links.
2.1.5.2 Temporal speed limit signal
Temporal speed limit signals consist of four signals (preannouncement, announcement, effective
speed limit and end of limitation signals) and are related to their influential variables:
• Driver’s attention state • Driver’s decision
• Speeds • Technical failure
• Accidents • Supervisor
• Rolling stock • Signal state
• Terrain and infrastructure failures • Driver’s tiredness
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