Information Technology Reference
In-Depth Information
Tabl e 2 . Human prevention (Parameter M)
M
human prevention
explanation
1
often possible
“skill-based” action under disad-
vantageous circumstances
3
seldom possible
“rule-based” action under disad-
vantageous circumstances
5
almost never possible
random human intervention
risk value afterwards. As we consider a derailment, the mass of the trains
doesn't really play a role for this accident type. It can even be advantageous
to prevent a derailment, if the train is heavier because of the higher Q-force
in relation to the Y-force (in accordance with the derailment criteria defined
by NADAL). Therefore, we won't consider subparameter T and thus assign
it the value 0.
Tabl e 3 . Train category (Parameter T)
T
train category
example
1
short-distance passenger trac
local train, rapid-transit, com-
muter rail
2
long-distance passenger trac +
high speed trac
trainset, passenger train, night
train, motorail train
3
freight trac
freight trains
The decisive speed V is estimated to be around 100 km/h for our consid-
ered freight trains. This would correspond to a high speed when referring to
Table 4. Thus, the value for V is chosen to be 3.
Tabl e 4 . Decisive Speed (Parameter V)
V
decisive speed
example
1
minor
shunting,
running
at
sight,
freight corridor
2
medium
line with limited trac
3
high
local line, regional service
4
very high
long distance or high speed line
Subparameter A assesses how many people might be affected by the po-
tential accident. In our example, we consider a derailment as our typical acci-
dent type. But we also consider freight trains, where there are no passengers
on board the train.
